Full Stack AI Engineer Part-Time READ THE FILE BEFORE BIDDING!!!!

@Microlent

I read your requirement and I’m interested in the long-term opportunity. I have experience building and deploying ML pipelines, including data cleaning, feature engineering, model training, evaluation, monitoring, and integration with production applications. My background includes: ✓ Python, TensorFlow, PyTorch, Scikit-learn ✓ Data pipelines & model optimization ✓ FastAPI / Node.js API integration ✓ Supabase, PostgreSQL & cloud deployments ✓ React/Vite-based product integrations ✓ Model monitoring & performance tracking I noticed you mentioned an uploaded file with specific deliverables, but I can’t see any attachment here. Please share the file so I can review the exact requirements before proposing an implementation plan. I’m comfortable starting part-time, moving quickly through iterations, and transitioning to a full-time role if the collaboration is a good fit. Looking forward to reviewing the document. Best regards, Microlent Team

@diektech

Hi — Elias here from Miami. I see you're looking to expand your internal product with custom machine-learning models. This is a great step, but I understand the challenges that can come with it. Integrating AI effectively requires not just building models, but also ensuring they fit seamlessly into your existing infrastructure. Common issues I’ve seen include model performance in real-world scenarios and the difficulty of maintaining clear communication between the front-end and back-end systems. It's crucial to establish a solid API for smooth interactions, especially when using frameworks like React and TypeScript. My approach would involve first assessing your current setup to identify potential bottlenecks. I’d ensure that the models are well-optimized for your specific use case and that the front-end displays data efficiently. I also believe in iterative development, which helps in making adjustments based on early feedback. Could you share more about the current tech stack you're using? Additionally, what specific outcomes are you hoping to achieve with this expansion? Looking forward to discussing this further.

@irsolutions

With over a decade of experience in full-stack AI engineering and high-scale systems, I understand your need to expand your internal product with custom machine-learning models. My background in scaling projects for over 1 million users and working in high-security FinTech directly aligns with the challenges of growing your system from part-time to full-time. One key strategic insight I can offer is to implement efficient data cleaning and shaping processes to optimize model training. I have successfully integrated complex systems into existing tech stacks, such as the React 18 and TypeScript front end you already have in place. My track record of delivering clean, well-commented code and iterating quickly on features positions me as the ideal candidate for this project. I encourage you to reach out so we can discuss a roadmap for seamlessly integrating AI into your current stack. Let's work together to scale your system and meet your deliverables promptly.

@ZohaibRoy

⭐⭐⭐⭐⭐ Create Machine Learning Models and Integrate with React & TypeScript ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project details and see that you are looking for a machine learning engineer. Look no further; Zohaib is here to help you! My team has successfully completed over 50 projects related to machine learning and data integration. I will clean and shape your raw data, design and train the models, and package everything for production. I will ensure seamless integration with your existing React and TypeScript stack. ➡️ Why Me? I can efficiently handle your machine learning needs as I have 5 years of experience in data processing, model training, and integration. My expertise includes Python, data analysis, and machine learning frameworks. Additionally, I have a strong grip on React, TypeScript, and cloud databases, ensuring smooth integration and performance monitoring. ➡️ Let's have a quick chat to discuss your project in detail. I would love to showcase samples of my previous work and how I can add value to your team. Looking forward to chatting with you! ➡️ Skills & Experience: ✅ Machine Learning ✅ Data Cleaning ✅ Model Training ✅ Python Programming ✅ React Development ✅ TypeScript ✅ Data Analysis ✅ Supabase Integration ✅ Performance Monitoring ✅ Real-time Data Processing ✅ Tailwind CSS ✅ Communication Skills Waiting for your response! Best Regards, Zohaib

@ykarora26

With experience in custom machine learning models and integration with React/Vite/TypeScript, I understand the need to expand your internal product seamlessly. My skills in data preprocessing and model training align perfectly with your requirements. How do you envision scaling the ML system alongside feature iterations? Regards, Yogesh Kumar

@Herculesz

Hi I have strong experience building custom ML workflows from raw data ingestion through preprocessing, feature engineering, model training, evaluation, and production deployment. A key challenge in this type of product is making sure models are not only accurate in notebooks, but also reliable, traceable, and easy to monitor once integrated into the live application. I can solve that by creating clean Python-based ML pipelines, using tools like Pandas, scikit-learn, PyTorch or TensorFlow, and packaging the model logic behind production-ready APIs or Supabase-connected services. Since your frontend is already built with React 18, TypeScript, Vite, Tailwind CSS, Shadcn UI, and Supabase, I can integrate the ML layer in a way that fits your current architecture instead of forcing a separate workflow. I will focus on clean data preparation, reusable training scripts, clear model evaluation metrics, versioned outputs, and monitoring hooks so performance can be tracked in real time. I also write well-commented code and prefer an iterative development style where each feature can be tested, reviewed, and improved quickly. This sounds like a strong fit for my experience in ML engineering, backend integration, and production-focused AI systems. Thanks, Hercules

@vladang

Reading the handoff, this isn't the ML build the post implies — it's finishing a substantially-built legal app and getting it off Lovable onto your own AlmaLinux/Nginx box, with Supabase Cloud staying as the backend. I'd start by getting a fresh clone's vite-react-ssg output serving real static HTML behind Nginx, then strip the eleven Lovable references and prove zero runtime calls by live network inspection. Then the defects — first sc-llm-page, since it's stamping California's $12,500 and § 116.221 onto every state's page; each has to source its own verified pack or refuse to render, never assume law. I'd leave the two generation gates and the publish gate untouched, and make the trial-gate RLS test pass against the live DB with the UI bypassed. One thing I'd watch: keep the sitemap and SSG pre-render reading one published set so they never drift past PostgREST's 1000-row cap. Ready to start on the repo whenever you are.

@skalogir

Hi, I understand this is not just model development but an ongoing role focused on data preparation, custom ML model training, production deployment, monitoring, and integration with your existing React 18, TypeScript, Vite, Tailwind, Shadcn UI, and Supabase stack, and I will review the uploaded requirements in full before proposing any implementation. I have experience building end-to-end ML systems from data pipelines through training, inference APIs, deployment, observability, and continuous model improvement while collaborating closely with product teams in fast iteration cycles. My approach is to first analyze the uploaded specification, map the ML architecture to your current platform, define deployment and monitoring workflows, then deliver clean, documented, production-ready code that can scale as the engagement grows into a full-time role. Q1: Could you confirm the file upload is attached and accessible on Freelancer? Q2: What types of models are involved (LLMs, classification, forecasting, recommendation, computer vision, etc.)? Q3: What are your current hosting and deployment environments for ML workloads? Best regards.

@corpmember29

⭕⭕FULL STACK AI/ML ENGINEER⭕⭕ I carefully review project requirements before committing and understand the need for an engineer who can take ownership of the complete AI lifecycle—from data collection and preprocessing to model training, deployment, monitoring, and continuous optimization. With 10+ years of experience in AI, Machine Learning, Python, LLM integrations, React, TypeScript, Supabase, and cloud-based architectures, I can seamlessly integrate ML workflows into your existing React 18 + Vite + Supabase ecosystem. ✔ Data processing, feature engineering & model training ✔ AI/ML model deployment & performance monitoring ✔ Integration with React, TypeScript & Supabase stack ✔ Scalable backend APIs and automation workflows ✔ Clean, documented, and production-ready code ✔ Fast iteration cycles with clear communication My approach is to first analyze the existing architecture, data sources, and model requirements, then build a scalable ML pipeline with monitoring, versioning, and continuous improvement capabilities while ensuring smooth integration with the current platform. ✅ Complete Source Code Ownership ✅ 2 Years Free Ongoing Support ✅ Agile Development Methodology ✅ Flexible Part-Time Start with Long-Term Commitment Potential I am available to discuss the uploaded requirements and can start immediately after reviewing the complete scope. Thank you.

@mubeenm5026

With over 10 years of experience under my belt, I have mastered the art of turning clients' unique ideas into powerful digital products, especially in the realm of AI development. Building on my deep knowledge of machine learning and data extraction systems, I am confident in my ability to offer tailored solutions for your growing project. By employing my meticulous approach in working with raw data, shaping it for training, designing and training models, I ensure that every aspect of your project is catered to competently and in detail. Moreover, as a founder and CEO of Web Crest managing a team consisting of ten dedicated professionals, I am no stranger to iterative development. We value not just simply writing code but creating clean, well-commented code that stands the test of time while seamlessly integrating with existing systems- exactly what your project entails. Having extensive experience in React.js development paired with an expertise in API Development and Software Architecture, I bring not only tactical knowledge but also a foundational understanding of your stack from day one. My commitment to transparency and clear communication aligns perfectly with your expectations - being prompt in communication is crucial when working with complex technologies as we could face unforeseen challenges that require collaboration to solve.

@Dimitarg1

Hi , Dimitar here from Macedonia. I see you're looking to translate Figma designs into a functional WordPress/WooCommerce site. This project is about more than just aesthetics; it’s about creating an efficient, user-friendly experience that aligns with your business goals. The technical challenge here often lies in ensuring that the site is both scalable and maintainable. What usually matters most is how well the design translates into responsive code that performs seamlessly across devices. Additionally, ensuring that WooCommerce is set up to handle transactions smoothly, while maintaining the integrity of your Figma designs, can be tricky. To tackle this, I would begin by structuring the site with a focus on Elementor for flexibility. I’ll ensure that the CSS and PHP are optimized for performance and future updates. My experience with similar Figma-to-WordPress projects has taught me the importance of testing for various user roles and admin workflows to prevent issues down the road. A few questions to better understand the scope: Q1 - What specific functionalities do you need integrated with WooCommerce? Q2 - Are there any particular admin workflows you envision for managing the site? Q3 - How do you plan to handle user roles and permissions? Happy to go through the details and suggest the best technical approach. - - Understand what client are looking for - Figure out technical challenge - Solution to resolve challenge - Make 3 specific questions to better underst

@dgmstudioinfo

As a digital growth specialist with over a decade of experience in full-cycle development, I have the ability to take your project from wireframes to deployment. My expertise in Node.js and Python are tailor-made for creating complex and scalable applications, which is exactly what you need to build on your current stack. Additionally, my proficiency in React, TypeScript, and CSS will ensure smooth integration between the existing front end and your custom machine-learning models. Throughout my career, I've worked with large amounts of raw data, cleaning and shaping it for the specific purpose of ML model training. The result has consistently been innovative and high-performing products that have brought measurable ROI for my clients. My impeccable attention to detail often comes through clean-coded solutions that are well-commented, something you specifically require for this project. In terms of commitment, even though we'll be starting part-time, I'm fully dedicated to growing with your project into a full-time capacity. I value transparent communication and quick iterations because they are critical for success in real-time performance monitoring. If you want a reliable partner who will not only meet your expectations but exceed them on every front from delivering prompt results to scaling the system together, then let's get started on this transformative journey!

@himanshu0818

Hi there, I’ve read your requirements carefully and understand the need for clean ML pipelines, well-structured models, and smooth integration into your existing React + Supabase stack. I have 15+ years of experience in full stack development and have worked extensively with AI/ML workflows—data cleaning, model training, and production deployment. I also use AI-assisted processes to speed up development while maintaining high-quality, well-documented code. I’m comfortable working with fast iteration cycles, clear communication, and building systems that are easy to monitor and scale in production. Happy to start part-time and grow into a long-term role. Let’s chat, Himanshu

@johnallenvillan1

Hello, I saw that your internal product relies on custom machine‑learning models integrated into a React 18, TypeScript, Tailwind, Shadcn UI, and Supabase stack. That tells me the ML workflow needs to align tightly with your existing front-end and real‑time monitoring setup. I’ve built similar pipelines where I cleaned multi‑source data, trained domain‑specific models, and deployed them with live performance tracking, most recently delivering a modular ML layer that scaled from prototype to production with zero downtime. I’ve found the real challenge in systems like yours is creating a training-to-production bridge that stays stable as the dataset evolves. Ensuring reproducibility, clean retraining cycles, and predictable API behavior is what prevents hidden model drift. I’ll set up a structured data‑prep pipeline, train models with clear versioning, expose them through well‑documented endpoints, and integrate performance metrics into your existing Supabase‑backed workflow. Code will be modular, commented, and isolated for easy iteration. Before starting, I need to confirm your data formats and how you want retraining jobs scheduled. If everything aligns, I can begin immediately on a part‑time basis. Best regards, John allen.

@wpcodersuk

Proposal generation failed.

@sabaehsan

Greetings, It looks like you're looking for a Full Stack AI Engineer to help expand your internal product by working with machine-learning models. I can help you by taking raw data, cleaning and shaping it for training, and then designing and training the models you'll need. I’m comfortable integrating machine learning into your existing tech stack, which includes React, TypeScript, and Supabase. I have experience with JavaScript and API development, and I'm all about writing clean, well-commented code. I value prompt communication and enjoy iterating on features quickly, so I believe we'd work well together. The flexible hours sound great for getting started, and I'm excited about the possibility of transitioning to full-time as we grow. Best regards, Saba Ehsan

@Tanmoy236

Hi There! I’m an expert in full-stack AI development with 9+ years of experience building machine learning systems, production APIs, and React-based applications. I can seamlessly integrate custom ML models into your existing React, TypeScript, Supabase, and Vite ecosystem while supporting rapid iteration and long-term scaling. Here’s how I can help: 1. Build data pipelines for cleaning, processing, and model training. 2. Develop and deploy production-ready ML models with monitoring. 3. Integrate AI services into your React 18, TypeScript, and Supabase stack. 4. Deliver clean, documented code with proactive communication and fast iteration. Could you share the uploaded deliverables file and the type of ML models you are currently using or planning to build?

@KarthikTechCon

Hello, I understand your frustration with generic bids. Before committing to deliverables, I would first review the uploaded document thoroughly and validate the requirements, architecture, and success criteria to ensure we're aligned. I'm Karthik, a Full-Stack AI Engineer with 15+ years of experience in AI/ML, data engineering, and full-stack application development. I've built solutions involving data pipelines, model training, inference APIs, MLOps, and production deployments integrated with React, TypeScript, Supabase, and cloud platforms. My expertise includes: ✔ Data Collection, Cleaning & Feature Engineering ✔ Custom ML Model Development & Fine-Tuning ✔ LLM & AI Workflow Integration ✔ Python, FastAPI, PyTorch, TensorFlow & Scikit-Learn ✔ React, TypeScript, Vite, Tailwind & Supabase ✔ Model Deployment, Monitoring & Performance Tracking ✔ CI/CD, Docker & Cloud Infrastructure ✔ Clean, Documented & Production-Ready Code I enjoy fast iteration, clear communication, and long-term product ownership. After reviewing the uploaded file, I can provide a detailed assessment, implementation approach, timeline, and recommendations for scaling from part-time support into a long-term engineering partnership. Looking forward to reviewing the documentation and discussing the next phase. Regards, Karthik 15+ Years Experience | AI/ML, Data Engineering & Full-Stack Development

@Hrolgar

React apps that wrap custom ML models have a structural choice to make early: does the model-to-UI type layer live in a dedicated adapter, or spread across components? The second pattern is faster to prototype and harder to maintain when model outputs shift. I'd lock that down in week one. Approach: map your existing model API responses to strict TypeScript interfaces before writing any new UI. That gives every component a stable contract to build against, and makes part-time handoffs clean since whoever picks up next isn't guessing what the model actually returns. Tailwind component scaffolding goes on top of that layer, not around it. M1: Model API audit, TypeScript interface layer, Tailwind component scaffold, $319, 2d. M2: Core UI views with live model data, error and loading states, $319, 3d. M3: API endpoints connecting frontend to your ML pipeline, $319, 3d. M4: QA pass, edge case handling, async handoff notes, $318, 2d. Each milestone is independently testable, which works well for part-time pacing. One thing worth knowing before I start: are the model endpoints currently stable, or actively iterating? That changes how defensive the M1 type layer needs to be.