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Juan F.

@juanpablomacf

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5.0
12

5.7

5.7

100%

AI/ML/LLM/RAG & Automation AIVoice Chat | Web, n8n

$50 USD / Hour

・

Flag of

Chile (4:41 PM)

・

Joined on January 28, 2026

・

1 Recommendation

$50 USD / Hour

・

I transform complex business challenges into scalable AI solutions that deliver measurable results. With over a decade of experience in both full-stack development and AI implementation, I bridge the gap between ambitious ideas and production-ready systems. 🏆 Proven Impact Across Industries FinTech: Built trading dashboards processing 50,000+ daily transactions with real-time analytics MedTech: Developed AI diagnostic assistants that reduced analysis time by 65% LegalTech: Implemented RAG systems that cut legal research from hours to minutes SaaS: Scaled platforms from MVP to 100,000+ users with integrated AI capabilities 🔧 Technical Expertise AI & Machine Learning AI Agent Systems: Multi-step reasoning and workflow orchestration RAG Pipelines: LangChain, LlamaIndex, Pinecone, ChromaDB (95%+ retrieval accuracy) LLM Integrations: GPT-4, Claude 3, LLaMA fine-tuning and optimization Voice AI: Twilio integration and real-time call processing Full-Stack Development Frontend: React/Next.js, TypeScript Backend: Node.js, Python, FastAPI DevOps: AWS, Docker, Kubernetes, CI/CD pipelines Automation: n8n workflows, custom API integrations 🚀 Recent Deliverables • AI Customer Support: Reduced ticket volume by 75% with bots handling 15,000+ monthly conversations • Document Intelligence: Built legal document analysis that cut review time from 4 hours to 15 minutes • Trading Analytics: Delivered real-time dashboards with 99.9% uptime for financial clients • Workflow Automation: Saved 200+ manual hours monthly through n8n-powered processes 🎯 My Approach Strategy & Planning Technical feasibility analysis and ROI-focused project scoping Scalable architecture design for long-term growth Execution & Delivery AI-enhanced development using Cursor and Copilot Agile methodology with transparent weekly progress updates Comprehensive testing and quality assurance Production Excellence Robust monitoring, logging, and error handling Performance optimization and thorough documentation 📈 Why Choose Senior Expertise? I architect systems that scale, implementing proper error handling, security protocols, and maintainable codebases. My clients avoid technical debt while accelerating their AI roadmap with production-ready solutions. I'm available for full-time engagements and ready to discuss how I can help bring your AI vision to life.

Verifications

On time

100%

On budget

100%

Accept rate

81%

Repeat hire rate

4%

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Portfolio

Portfolio

13938439
I built several interconnected components inside a unified AI chatbot SaaS platform designed to automate complex workflows across multiple industries. One of the core modules is an EV diagnostic system that allows users to select their vehicle, describe symptoms or enter error codes, upload photos, and receive an AI‑generated diagnosis with severity, probable causes and recommended next steps. The system also connects to a product and service catalog, enabling the assistant to suggest compatible accessories such as chargers, cables, auxiliary batteries, boosters, wallbox installations and safety equipment. The entire flow is multilingual, available 24/7 and optimized for natural‑language interaction. I also developed the voice automation layer of the platform, integrating real‑time call logs, cost tracking, call‑end reasons, timestamps and assistant performance metrics. This module supports AI voice agents used for support, claims and customer operations, giving teams full visibility

AI Chatbot SaaS Platform EV Diagnose

I built several interconnected components inside a unified AI chatbot SaaS platform designed to automate complex workflows across multiple industries. One of the core modules is an EV diagnostic system that allows users to select their vehicle, describe symptoms or enter error codes, upload photos, and receive an AI‑generated diagnosis with severity, probable causes and recommended next steps. The system also connects to a product and service catalog, enabling the assistant to suggest compatible accessories such as chargers, cables, auxiliary batteries, boosters, wallbox installations and safety equipment. The entire flow is multilingual, available 24/7 and optimized for natural‑language interaction. I also developed the voice automation layer of the platform, integrating real‑time call logs, cost tracking, call‑end reasons, timestamps and assistant performance metrics. This module supports AI voice agents used for support, claims and customer operations, giving teams full visibility

AI Chatbot SaaS Platform EV Diagnose

I built several interconnected components inside a unified AI chatbot SaaS platform designed to automate complex workflows across multiple industries. One of the core modules is an EV diagnostic system that allows users to select their vehicle, describe symptoms or enter error codes, upload photos, and receive an AI‑generated diagnosis with severity, probable causes and recommended next steps. The system also connects to a product and service catalog, enabling the assistant to suggest compatible accessories such as chargers, cables, auxiliary batteries, boosters, wallbox installations and safety equipment. The entire flow is multilingual, available 24/7 and optimized for natural‑language interaction. I also developed the voice automation layer of the platform, integrating real‑time call logs, cost tracking, call‑end reasons, timestamps and assistant performance metrics. This module supports AI voice agents used for support, claims and customer operations, giving teams full visibility

AI Chatbot SaaS Platform EV Diagnose

I built several interconnected components inside a unified AI chatbot SaaS platform designed to automate complex workflows across multiple industries. One of the core modules is an EV diagnostic system that allows users to select their vehicle, describe symptoms or enter error codes, upload photos, and receive an AI‑generated diagnosis with severity, probable causes and recommended next steps. The system also connects to a product and service catalog, enabling the assistant to suggest compatible accessories such as chargers, cables, auxiliary batteries, boosters, wallbox installations and safety equipment. The entire flow is multilingual, available 24/7 and optimized for natural‑language interaction. I also developed the voice automation layer of the platform, integrating real‑time call logs, cost tracking, call‑end reasons, timestamps and assistant performance metrics. This module supports AI voice agents used for support, claims and customer operations, giving teams full visibility

AI Chatbot SaaS Platform EV Diagnose

13938432
I contributed multiple modules to a full AI Chatbot SaaS platform designed to automate communication, operations, and customer workflows across different industries. 1. AI Voice Automation (VAPI Call Logs & Monitoring) I implemented the call‑tracking and analytics layer for the platform’s voice AI system. This includes real‑time logs for outbound calls, showing call IDs, assistant identity, customer numbers, call type, end reason, timestamps, duration, and cost. This module integrates directly with the platform’s Assistants, Squads, Tools, Phone Numbers, Metrics, and API Keys, giving operators full visibility into AI‑driven conversations. 2. Claims Automation – Insurance Company Management I built the company‑management dashboard used in the platform’s automated claims workflow. Operators can sync phone numbers, add/edit insurers, manage working windows, and toggle active/paused states. This module powers automated ticket routing and AI‑driven communication with insurance com

AI Chatbot SaaS Platform

I contributed multiple modules to a full AI Chatbot SaaS platform designed to automate communication, operations, and customer workflows across different industries. 1. AI Voice Automation (VAPI Call Logs & Monitoring) I implemented the call‑tracking and analytics layer for the platform’s voice AI system. This includes real‑time logs for outbound calls, showing call IDs, assistant identity, customer numbers, call type, end reason, timestamps, duration, and cost. This module integrates directly with the platform’s Assistants, Squads, Tools, Phone Numbers, Metrics, and API Keys, giving operators full visibility into AI‑driven conversations. 2. Claims Automation – Insurance Company Management I built the company‑management dashboard used in the platform’s automated claims workflow. Operators can sync phone numbers, add/edit insurers, manage working windows, and toggle active/paused states. This module powers automated ticket routing and AI‑driven communication with insurance com

AI Chatbot SaaS Platform

13938422
I developed and integrated two operational modules for an AI‑driven communication and claims‑processing system. 1. VAPI Call Logs & Monitoring Module I implemented a real‑time call analytics dashboard that displays outbound AI‑assistant calls, including call ID, assistant identity, customer number, call type, end reason, timestamps, duration, and cost. The system supports detailed monitoring for each call, enabling teams to audit performance, detect issues (e.g., silence, customer hang‑ups), and optimize assistant behavior. The module is fully integrated with VAPI’s Assistants, Squads, Tools, Phone Numbers, Metrics, and API Keys sections, ensuring seamless observability across the entire voice automation pipeline. 2. Claims Automation – Insurance Company Management I built a management interface for insurance companies used in automated claims workflows. The dashboard allows syncing phone numbers from tickets, adding/editing companies, managing working windows, and toggling a

AI Call Automation & Claims Manageme

I developed and integrated two operational modules for an AI‑driven communication and claims‑processing system. 1. VAPI Call Logs & Monitoring Module I implemented a real‑time call analytics dashboard that displays outbound AI‑assistant calls, including call ID, assistant identity, customer number, call type, end reason, timestamps, duration, and cost. The system supports detailed monitoring for each call, enabling teams to audit performance, detect issues (e.g., silence, customer hang‑ups), and optimize assistant behavior. The module is fully integrated with VAPI’s Assistants, Squads, Tools, Phone Numbers, Metrics, and API Keys sections, ensuring seamless observability across the entire voice automation pipeline. 2. Claims Automation – Insurance Company Management I built a management interface for insurance companies used in automated claims workflows. The dashboard allows syncing phone numbers from tickets, adding/editing companies, managing working windows, and toggling a

AI Call Automation & Claims Manageme

I developed and integrated two operational modules for an AI‑driven communication and claims‑processing system. 1. VAPI Call Logs & Monitoring Module I implemented a real‑time call analytics dashboard that displays outbound AI‑assistant calls, including call ID, assistant identity, customer number, call type, end reason, timestamps, duration, and cost. The system supports detailed monitoring for each call, enabling teams to audit performance, detect issues (e.g., silence, customer hang‑ups), and optimize assistant behavior. The module is fully integrated with VAPI’s Assistants, Squads, Tools, Phone Numbers, Metrics, and API Keys sections, ensuring seamless observability across the entire voice automation pipeline. 2. Claims Automation – Insurance Company Management I built a management interface for insurance companies used in automated claims workflows. The dashboard allows syncing phone numbers from tickets, adding/editing companies, managing working windows, and toggling a

AI Call Automation & Claims Manageme

I developed and integrated two operational modules for an AI‑driven communication and claims‑processing system. 1. VAPI Call Logs & Monitoring Module I implemented a real‑time call analytics dashboard that displays outbound AI‑assistant calls, including call ID, assistant identity, customer number, call type, end reason, timestamps, duration, and cost. The system supports detailed monitoring for each call, enabling teams to audit performance, detect issues (e.g., silence, customer hang‑ups), and optimize assistant behavior. The module is fully integrated with VAPI’s Assistants, Squads, Tools, Phone Numbers, Metrics, and API Keys sections, ensuring seamless observability across the entire voice automation pipeline. 2. Claims Automation – Insurance Company Management I built a management interface for insurance companies used in automated claims workflows. The dashboard allows syncing phone numbers from tickets, adding/editing companies, managing working windows, and toggling a

AI Call Automation & Claims Manageme

13949380
designed and implemented a mobile solution that transforms traditional paper forms into fully interactive smart mobile forms. The project included creating digital versions of work orders, jobsite inspections, and field reports with support for images, sketches, maps, and digital signatures. The interface was optimized for field technicians, enabling fast data entry, photo capture, and real‑time syncing. The system also integrates with external business applications, allowing automated workflows, centralized data storage, and improved operational efficiency.

Digital Work Orders & Inspection

13949377
I created a promotional UI/UX showcase for a food‑focused social networking mobile app. The design highlights the app’s core features, including location‑based restaurant discovery, reviewer following, video review feeds, in‑app ordering, and user‑generated ratings. Each screen was crafted to clearly communicate functionality while maintaining a clean, modern visual identity. The layout uses a warm color palette, intuitive navigation, and high‑contrast elements to ensure clarity and engagement. This project demonstrates my ability to translate complex app features into a visually compelling and easy‑to-understand presentation.

Food Social Networking App – UI/UX

13793829
Architected and developed a full-stack platform for buying, selling, and managing fine wine as an asset class. The system solved complex problems unique to alternative assets: **provenance tracking** (chain-of-custody recorded on a private blockchain ledger for high-value lots), **condition grading** (users submitted cellar photos analyzed by computer vision to suggest storage quality), and **dynamic valuation** (integrating auction API data, critic scores, and market demand signals). The marketplace backend (Node.js, Postgres) handled bid/ask order matching and escrow services. The core for users was the "Digital Cellar" – a React frontend allowing collectors to catalog bottles, view estimated portfolio value over time, and get AI-driven selling recommendations ("Drink, Hold, or Sell") based on peak maturity windows. A standout B2B feature was the "Trade Liquidity Pool" API for wine merchants, enabling them to programmatically list and source inventory. T

Fine Wine Marketplace & Portfolio

Architected and developed a full-stack platform for buying, selling, and managing fine wine as an asset class. The system solved complex problems unique to alternative assets: **provenance tracking** (chain-of-custody recorded on a private blockchain ledger for high-value lots), **condition grading** (users submitted cellar photos analyzed by computer vision to suggest storage quality), and **dynamic valuation** (integrating auction API data, critic scores, and market demand signals). The marketplace backend (Node.js, Postgres) handled bid/ask order matching and escrow services. The core for users was the "Digital Cellar" – a React frontend allowing collectors to catalog bottles, view estimated portfolio value over time, and get AI-driven selling recommendations ("Drink, Hold, or Sell") based on peak maturity windows. A standout B2B feature was the "Trade Liquidity Pool" API for wine merchants, enabling them to programmatically list and source inventory. T

Fine Wine Marketplace & Portfolio

Architected and developed a full-stack platform for buying, selling, and managing fine wine as an asset class. The system solved complex problems unique to alternative assets: **provenance tracking** (chain-of-custody recorded on a private blockchain ledger for high-value lots), **condition grading** (users submitted cellar photos analyzed by computer vision to suggest storage quality), and **dynamic valuation** (integrating auction API data, critic scores, and market demand signals). The marketplace backend (Node.js, Postgres) handled bid/ask order matching and escrow services. The core for users was the "Digital Cellar" – a React frontend allowing collectors to catalog bottles, view estimated portfolio value over time, and get AI-driven selling recommendations ("Drink, Hold, or Sell") based on peak maturity windows. A standout B2B feature was the "Trade Liquidity Pool" API for wine merchants, enabling them to programmatically list and source inventory. T

Fine Wine Marketplace & Portfolio

13938439
I built several interconnected components inside a unified AI chatbot SaaS platform designed to automate complex workflows across multiple industries. One of the core modules is an EV diagnostic system that allows users to select their vehicle, describe symptoms or enter error codes, upload photos, and receive an AI‑generated diagnosis with severity, probable causes and recommended next steps. The system also connects to a product and service catalog, enabling the assistant to suggest compatible accessories such as chargers, cables, auxiliary batteries, boosters, wallbox installations and safety equipment. The entire flow is multilingual, available 24/7 and optimized for natural‑language interaction. I also developed the voice automation layer of the platform, integrating real‑time call logs, cost tracking, call‑end reasons, timestamps and assistant performance metrics. This module supports AI voice agents used for support, claims and customer operations, giving teams full visibility

AI Chatbot SaaS Platform EV Diagnose

I built several interconnected components inside a unified AI chatbot SaaS platform designed to automate complex workflows across multiple industries. One of the core modules is an EV diagnostic system that allows users to select their vehicle, describe symptoms or enter error codes, upload photos, and receive an AI‑generated diagnosis with severity, probable causes and recommended next steps. The system also connects to a product and service catalog, enabling the assistant to suggest compatible accessories such as chargers, cables, auxiliary batteries, boosters, wallbox installations and safety equipment. The entire flow is multilingual, available 24/7 and optimized for natural‑language interaction. I also developed the voice automation layer of the platform, integrating real‑time call logs, cost tracking, call‑end reasons, timestamps and assistant performance metrics. This module supports AI voice agents used for support, claims and customer operations, giving teams full visibility

AI Chatbot SaaS Platform EV Diagnose

I built several interconnected components inside a unified AI chatbot SaaS platform designed to automate complex workflows across multiple industries. One of the core modules is an EV diagnostic system that allows users to select their vehicle, describe symptoms or enter error codes, upload photos, and receive an AI‑generated diagnosis with severity, probable causes and recommended next steps. The system also connects to a product and service catalog, enabling the assistant to suggest compatible accessories such as chargers, cables, auxiliary batteries, boosters, wallbox installations and safety equipment. The entire flow is multilingual, available 24/7 and optimized for natural‑language interaction. I also developed the voice automation layer of the platform, integrating real‑time call logs, cost tracking, call‑end reasons, timestamps and assistant performance metrics. This module supports AI voice agents used for support, claims and customer operations, giving teams full visibility

AI Chatbot SaaS Platform EV Diagnose

I built several interconnected components inside a unified AI chatbot SaaS platform designed to automate complex workflows across multiple industries. One of the core modules is an EV diagnostic system that allows users to select their vehicle, describe symptoms or enter error codes, upload photos, and receive an AI‑generated diagnosis with severity, probable causes and recommended next steps. The system also connects to a product and service catalog, enabling the assistant to suggest compatible accessories such as chargers, cables, auxiliary batteries, boosters, wallbox installations and safety equipment. The entire flow is multilingual, available 24/7 and optimized for natural‑language interaction. I also developed the voice automation layer of the platform, integrating real‑time call logs, cost tracking, call‑end reasons, timestamps and assistant performance metrics. This module supports AI voice agents used for support, claims and customer operations, giving teams full visibility

AI Chatbot SaaS Platform EV Diagnose

13938432
I contributed multiple modules to a full AI Chatbot SaaS platform designed to automate communication, operations, and customer workflows across different industries. 1. AI Voice Automation (VAPI Call Logs & Monitoring) I implemented the call‑tracking and analytics layer for the platform’s voice AI system. This includes real‑time logs for outbound calls, showing call IDs, assistant identity, customer numbers, call type, end reason, timestamps, duration, and cost. This module integrates directly with the platform’s Assistants, Squads, Tools, Phone Numbers, Metrics, and API Keys, giving operators full visibility into AI‑driven conversations. 2. Claims Automation – Insurance Company Management I built the company‑management dashboard used in the platform’s automated claims workflow. Operators can sync phone numbers, add/edit insurers, manage working windows, and toggle active/paused states. This module powers automated ticket routing and AI‑driven communication with insurance com

AI Chatbot SaaS Platform

I contributed multiple modules to a full AI Chatbot SaaS platform designed to automate communication, operations, and customer workflows across different industries. 1. AI Voice Automation (VAPI Call Logs & Monitoring) I implemented the call‑tracking and analytics layer for the platform’s voice AI system. This includes real‑time logs for outbound calls, showing call IDs, assistant identity, customer numbers, call type, end reason, timestamps, duration, and cost. This module integrates directly with the platform’s Assistants, Squads, Tools, Phone Numbers, Metrics, and API Keys, giving operators full visibility into AI‑driven conversations. 2. Claims Automation – Insurance Company Management I built the company‑management dashboard used in the platform’s automated claims workflow. Operators can sync phone numbers, add/edit insurers, manage working windows, and toggle active/paused states. This module powers automated ticket routing and AI‑driven communication with insurance com

AI Chatbot SaaS Platform

13938422
I developed and integrated two operational modules for an AI‑driven communication and claims‑processing system. 1. VAPI Call Logs & Monitoring Module I implemented a real‑time call analytics dashboard that displays outbound AI‑assistant calls, including call ID, assistant identity, customer number, call type, end reason, timestamps, duration, and cost. The system supports detailed monitoring for each call, enabling teams to audit performance, detect issues (e.g., silence, customer hang‑ups), and optimize assistant behavior. The module is fully integrated with VAPI’s Assistants, Squads, Tools, Phone Numbers, Metrics, and API Keys sections, ensuring seamless observability across the entire voice automation pipeline. 2. Claims Automation – Insurance Company Management I built a management interface for insurance companies used in automated claims workflows. The dashboard allows syncing phone numbers from tickets, adding/editing companies, managing working windows, and toggling a

AI Call Automation & Claims Manageme

I developed and integrated two operational modules for an AI‑driven communication and claims‑processing system. 1. VAPI Call Logs & Monitoring Module I implemented a real‑time call analytics dashboard that displays outbound AI‑assistant calls, including call ID, assistant identity, customer number, call type, end reason, timestamps, duration, and cost. The system supports detailed monitoring for each call, enabling teams to audit performance, detect issues (e.g., silence, customer hang‑ups), and optimize assistant behavior. The module is fully integrated with VAPI’s Assistants, Squads, Tools, Phone Numbers, Metrics, and API Keys sections, ensuring seamless observability across the entire voice automation pipeline. 2. Claims Automation – Insurance Company Management I built a management interface for insurance companies used in automated claims workflows. The dashboard allows syncing phone numbers from tickets, adding/editing companies, managing working windows, and toggling a

AI Call Automation & Claims Manageme

I developed and integrated two operational modules for an AI‑driven communication and claims‑processing system. 1. VAPI Call Logs & Monitoring Module I implemented a real‑time call analytics dashboard that displays outbound AI‑assistant calls, including call ID, assistant identity, customer number, call type, end reason, timestamps, duration, and cost. The system supports detailed monitoring for each call, enabling teams to audit performance, detect issues (e.g., silence, customer hang‑ups), and optimize assistant behavior. The module is fully integrated with VAPI’s Assistants, Squads, Tools, Phone Numbers, Metrics, and API Keys sections, ensuring seamless observability across the entire voice automation pipeline. 2. Claims Automation – Insurance Company Management I built a management interface for insurance companies used in automated claims workflows. The dashboard allows syncing phone numbers from tickets, adding/editing companies, managing working windows, and toggling a

AI Call Automation & Claims Manageme

I developed and integrated two operational modules for an AI‑driven communication and claims‑processing system. 1. VAPI Call Logs & Monitoring Module I implemented a real‑time call analytics dashboard that displays outbound AI‑assistant calls, including call ID, assistant identity, customer number, call type, end reason, timestamps, duration, and cost. The system supports detailed monitoring for each call, enabling teams to audit performance, detect issues (e.g., silence, customer hang‑ups), and optimize assistant behavior. The module is fully integrated with VAPI’s Assistants, Squads, Tools, Phone Numbers, Metrics, and API Keys sections, ensuring seamless observability across the entire voice automation pipeline. 2. Claims Automation – Insurance Company Management I built a management interface for insurance companies used in automated claims workflows. The dashboard allows syncing phone numbers from tickets, adding/editing companies, managing working windows, and toggling a

AI Call Automation & Claims Manageme

13949380
designed and implemented a mobile solution that transforms traditional paper forms into fully interactive smart mobile forms. The project included creating digital versions of work orders, jobsite inspections, and field reports with support for images, sketches, maps, and digital signatures. The interface was optimized for field technicians, enabling fast data entry, photo capture, and real‑time syncing. The system also integrates with external business applications, allowing automated workflows, centralized data storage, and improved operational efficiency.

Digital Work Orders & Inspection

13949377
I created a promotional UI/UX showcase for a food‑focused social networking mobile app. The design highlights the app’s core features, including location‑based restaurant discovery, reviewer following, video review feeds, in‑app ordering, and user‑generated ratings. Each screen was crafted to clearly communicate functionality while maintaining a clean, modern visual identity. The layout uses a warm color palette, intuitive navigation, and high‑contrast elements to ensure clarity and engagement. This project demonstrates my ability to translate complex app features into a visually compelling and easy‑to-understand presentation.

Food Social Networking App – UI/UX

13793829
Architected and developed a full-stack platform for buying, selling, and managing fine wine as an asset class. The system solved complex problems unique to alternative assets: **provenance tracking** (chain-of-custody recorded on a private blockchain ledger for high-value lots), **condition grading** (users submitted cellar photos analyzed by computer vision to suggest storage quality), and **dynamic valuation** (integrating auction API data, critic scores, and market demand signals). The marketplace backend (Node.js, Postgres) handled bid/ask order matching and escrow services. The core for users was the "Digital Cellar" – a React frontend allowing collectors to catalog bottles, view estimated portfolio value over time, and get AI-driven selling recommendations ("Drink, Hold, or Sell") based on peak maturity windows. A standout B2B feature was the "Trade Liquidity Pool" API for wine merchants, enabling them to programmatically list and source inventory. T

Fine Wine Marketplace & Portfolio

Architected and developed a full-stack platform for buying, selling, and managing fine wine as an asset class. The system solved complex problems unique to alternative assets: **provenance tracking** (chain-of-custody recorded on a private blockchain ledger for high-value lots), **condition grading** (users submitted cellar photos analyzed by computer vision to suggest storage quality), and **dynamic valuation** (integrating auction API data, critic scores, and market demand signals). The marketplace backend (Node.js, Postgres) handled bid/ask order matching and escrow services. The core for users was the "Digital Cellar" – a React frontend allowing collectors to catalog bottles, view estimated portfolio value over time, and get AI-driven selling recommendations ("Drink, Hold, or Sell") based on peak maturity windows. A standout B2B feature was the "Trade Liquidity Pool" API for wine merchants, enabling them to programmatically list and source inventory. T

Fine Wine Marketplace & Portfolio

Architected and developed a full-stack platform for buying, selling, and managing fine wine as an asset class. The system solved complex problems unique to alternative assets: **provenance tracking** (chain-of-custody recorded on a private blockchain ledger for high-value lots), **condition grading** (users submitted cellar photos analyzed by computer vision to suggest storage quality), and **dynamic valuation** (integrating auction API data, critic scores, and market demand signals). The marketplace backend (Node.js, Postgres) handled bid/ask order matching and escrow services. The core for users was the "Digital Cellar" – a React frontend allowing collectors to catalog bottles, view estimated portfolio value over time, and get AI-driven selling recommendations ("Drink, Hold, or Sell") based on peak maturity windows. A standout B2B feature was the "Trade Liquidity Pool" API for wine merchants, enabling them to programmatically list and source inventory. T

Fine Wine Marketplace & Portfolio

5.0 · 12 Reviews
12 Reviews
J
Flag of

Juan Carlos L.

5.0

€150 EUR

2 minutes ago

Depuración MAUI con Azure Realm

Un programador de confianza. Ayuda y explica todo con mucho detalle. Totalmente recomendable.

Java
Mobile App Development
Android
C# Programming
Azure

+3 more

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B
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Carlos D.

5.0

$200 USD

9 days ago

Whatsapp bot: Backend y Cloud (senior)

Juan Pablo hizo un excelente trabajo. Fue muy profesional, atento a los detalles y mantuvo una comunicación clara durante todo el proceso. Cumplió con lo acordado y demostró mucha disposición para resolver cualquier ajuste. Lo recomiendo totalmente y volvería a trabajar con él.

Cloud Computing
Node.js
Payment Gateway Integration
Backend Development
AI (Artificial Intelligence) HW/SW

+2 more

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F
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Fidel P.

5.0

$1,125 USD

22 days ago

Bot Android Autoaceptación Entregas

Muy buen trabajo . Agredecido

PHP
Python
Mobile App Development
Android
Software Architecture

+3 more

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W
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Wagner E.

5.0

$1,140 USD

24 days ago

Desenvolvimento de Plataforma Logística Personalizada

Excellent developer, highly professional, reliable, and always willing to help. Throughout the project, he was responsive, proactive, and committed to finding the best solutions. Software development requires continuous testing and improvements, and he handled every challenge with dedication and responsibility. The platform and APK were delivered with excellent quality. He is the kind of developer you can trust, and someone I will definitely work with again in the future. Highly recommended.

PHP
Logistics
MySQL
Node.js
Laravel

+3 more

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R
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Mr Press R.

5.0

$250 USD

1 month ago

Award Force Setup and Confirguration

Excellent Work!!!!! (-:

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Experience

Senior Software engineerav

May, 2021 - Feb, 2026

•

4 years, 9 months

Stratech Corp

May, 2021 - Feb, 2026

•

4 years, 9 months

• Designed and developed machine learning models using Python (scikit-learn, TensorFlow, PyTorch) to support predictive analytics and automation initiatives • Engineered scalable data pipelines using Python and FastAPI, enabling efficient data ingestion, preprocessing, and feature engineering • Deployed and managed production-grade ML models using FastAPI, AWS, and Azure, supporting both real-time and batch inference

Flag of

Snatiago, Chile

May, 2021 - Feb, 2026

•

4 years, 9 months

Senior Full Stack Engineer

Mar, 2016 - May, 2021

•

5 years, 2 months

artool

Mar, 2016 - May, 2021

•

5 years, 2 months

• Developed and maintained scalable backend services using Node.js, Python (Django, FastAPI), PHP, and Golang • Designed and implemented RESTful APIs to support frontend applications and third-party integrations • Built responsive and dynamic frontend applications using React, Angular, JavaScript, HTML, and CSS • Designed and optimized databases including PostgreSQL, MySQL, and MongoDB • Integrated third-party APIs and external services to enhance application capabilities

Flag of

santiago, Chile

Mar, 2016 - May, 2021

•

5 years, 2 months

Full Stack Developer

Feb, 2014 - Feb, 2016

•

2 years

Neotel

Feb, 2014 - Feb, 2016

•

2 years

• Developed full stack web applications using React, Angular, Node.js, and Python-based services • Built reusable and maintainable frontend components with a focus on performance and scalability • Designed and integrated backend APIs to support application features and business logic • Optimized application performance using techniques such as lazy loading, efficient state management, and code splitting • Collaborated with UI/UX designers and backend engineers to ensure seamless user experiences

Flag of

Santiago, Chile

Feb, 2014 - Feb, 2016

•

2 years

Education

Universidad San Sebastián

2009 - 2013

•

4 years

bachelor's degree

Flag of

Chile

2009 - 2013

•

4 years

Certifications

P

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