Senior Python & GenAI Developer

@hirujiyu

Hello, Your requirements align closely with my experience in Python, SQL Server, and production-grade Generative AI systems. I have worked extensively on microservice-based applications, performance optimization, complex SQL development, and AI-powered solutions deployed in live environments. What I can bring to the project: ✅ Development of new features across Python microservices with clean, maintainable code ✅ SQL Server query optimization, stored procedures, views, and database performance tuning ✅ Legacy code refactoring for improved speed, memory usage, and readability ✅ Data analysis and reporting to validate feature performance and business outcomes ✅ End-to-end GenAI implementation, including fine-tuning, evaluation, deployment, and API integration My AI experience includes working with Hugging Face Transformers, LangChain, OpenAI models, RAG architectures, vector databases, and production AI APIs. I'm comfortable working in VS Code with GitHub Copilot, following strong code-review practices, writing thorough documentation, and contributing through structured pull requests. Available to start immediately and contribute from day one. Looking forward to discussing your architecture, AI roadmap, and performance goals. Thank you.

@MashoodurRehman1

I am an experienced Python and SQL developer with over 6 years of hands-on expertise, including more than 2 years working with Generative AI in production environments. My proficiency with VS Code, coupled with GitHub Copilot, allows me to efficiently integrate code enhancements while maintaining rigorous code review standards. Throughout my career, I have successfully coded new features across various micro-services, optimized Python modules for performance, and created complex SQL queries and procedures. I am particularly skilled in SQL Server, complemented by experience with MySQL and PostgreSQL. On the Generative AI front, I have a robust skill set with Hugging Face Transformers and LangChain, having led projects that involved training, fine-tuning, and deploying AI models. My approach ensures models are efficiently delivered into production with reproducible documentation. I am keen to discuss how my experience can meet your project's objectives, particularly regarding your benchmarks for success. Are there specific timelines or existing models you expect a new developer to integrate with initially?

@ZohaibRoy

⭐⭐⭐⭐⭐ Experienced Python-SQL Engineer Specializing in Generative AI Solutions ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and noticed you're looking for a seasoned Python-SQL engineer. Look no further; Zohaib is here to assist you! My team has successfully completed 50+ similar projects for Python and SQL development. I will create new features, optimize existing modules, and perform data analysis to meet your needs efficiently. ➡️ Why Me? I can easily handle your project as I have over 6 years of experience in Python and SQL, including 2 years applying Generative AI in production. My expertise covers coding, optimizing, and data analysis, with a strong grip on frameworks like Hugging Face and LangChain. ➡️ Let's have a quick chat to discuss your project in detail. I can show you examples of my previous work and how I can add value to your project. Looking forward to our discussion! ➡️ Skills & Experience: ✅ Python Development ✅ SQL Server Mastery ✅ Generative AI Models ✅ Data Analysis ✅ Microservices Architecture ✅ Code Optimization ✅ VS Code Proficiency ✅ GitHub Copilot Usage ✅ Complex Query Writing ✅ Performance Benchmarking ✅ Documentation Skills ✅ Agile Methodologies Waiting for your response! Best Regards, Zohaib

@neerajdhameliya

Hello, Instead of only maintaining your microservices, I can help improve and optimize them. I have 9 years of experience with Python and SQL Server, along with 3 years of building production-ready GenAI solutions. I’m comfortable jumping into an existing codebase, using VS Code and GitHub Copilot to speed up development while carefully reviewing code to maintain quality and performance. Along with writing clean and efficient SQL queries, I can manage the complete GenAI workflow using Hugging Face and LangChain, including model fine-tuning, evaluation, and deployment through scalable APIs. I can start quickly and would be interested in learning more about your current GenAI stack and models. Best, Niral

@kamran2012

Hello there, I will build and deploy your GenAI models — training, fine-tuning, and serving behind an API — while shipping features across your Python micro-services and optimizing SQL Server queries for speed and memory. For reproducible model workflows, I will structure training notebooks with DVC-tracked datasets and containerized serving — so retraining and rollback stay predictable in production. Questions: 1) Which GenAI use case is highest priority — NLP, code generation, or another domain? 2) Is deployment targeting Azure, AWS, or on-prem infrastructure? Looking forward to potentially working together. Thanks, Kamran

@gunslinger

Hi, This is exactly the kind of work I’ve been doing. I have 10+ years of software engineering experience with Python, SQL, distributed systems, and cloud infrastructure, along with hands on experience building and deploying AI powered applications into production. I’ve worked extensively with LangChain, RAG architectures, vector databases, LLM integrations, and model deployment pipelines, while maintaining strong code review and software engineering standards. My recent work includes responsibility for backend architecture, APIs, databases, cloud deployment, performance optimization, and production support. I’m comfortable working with GitHub Copilot, microservices, SQL optimization, Hugging Face, LangChain, and taking GenAI solutions from prototype to production. I can start immediately and am comfortable working with US clients and overlapping US business hours. I’d be happy to discuss the codebase and how I can contribute quickly.

@intelliresponse

❤️ Hello ❤️, I carefully reviewed your requirements and understand you need a senior Python–SQL engineer who can join an active codebase quickly, work efficiently in VS Code with GitHub Copilot, and still maintain strong code quality through disciplined reviews. ⚙️ I have strong experience with Python microservices, SQL Server, performance optimization, data analysis, API development, and production Gen AI workflows using tools such as Hugging Face, LangChain, and LLM integrations. ✅ I can help with: • Developing new Python features across microservices • Optimizing legacy modules for speed, memory, and readability • Writing and tuning complex SQL Server queries, views, and procedures • Using data analysis to validate feature outcomes • Training, fine-tuning, and deploying Gen AI models behind APIs • Creating reproducible notebooks, deployment scripts, and documentation • Working through Git pull requests with clear commit history and reviews ? My focus will be clean production-ready code, measurable performance gains, and reliable Gen AI deployment. Best regards, Steven

@corpmember29

Hello, I have strong experience in Python development, SQL Server optimization, data analysis, and Generative AI solutions, and I’m comfortable working in VS Code with GitHub Copilot-driven workflows. My background includes building and maintaining Python microservices, optimizing performance-critical modules, designing complex SQL Server queries, stored procedures, and views, as well as deploying AI-powered applications into production environments. I have hands-on experience with Hugging Face Transformers, LangChain, LLM integrations, vector databases, RAG pipelines, model fine-tuning, and API deployment. I can contribute across the full lifecycle: * Python microservice development and refactoring * SQL Server performance tuning and query optimization * Data analysis and reporting * GenAI model training, fine-tuning, and deployment * API development and production monitoring * Code reviews, documentation, and CI/CD workflows My focus is on delivering clean, maintainable code, measurable performance improvements, and production-ready AI systems with reproducible training and deployment processes. I’m available to start immediately and would be happy to discuss your architecture, current codebase, and project goals. Thanks CHirstina

@Mahihassi

As a Senior Python developer at MHTechFusion, I have more than 6 years of experience in full-stack development specializing in Python- SQL. In fact, I have spent the last two years working extensively with Generative AI technologies and frameworks such as Hugging Face Transformers - a skill that will prove invaluable to your project. At MHTechFusion, we have a strong discipline of code-reviewing to maintain high-quality codebases, which aligns with your need to ensure clean, well-documented Python and SQL code merged through pull requests. Additionally, my skills in SQL Server, MySQL, and PostgreSQL would enable me to write and tune the complex queries, views and procedures essential for your project. I can even bring a unique perspective having worked with varied databases like MongoDB, Redis, and more. With regard to generative AI systems, I have deployed various models into live environments and am adept at training, fine-tuning, and maintaining these models throughout their lifecycle. The projects have ranged from LLM integration including OpenAI APIs to developing AI copilots & automation agents.

@Herculesz

Hi I have strong hands-on experience with Python microservices, SQL Server query tuning, data analysis, and production Gen AI workflows using Hugging Face, LangChain, FastAPI, Docker, and API-based model deployment. A common risk in active micro-service codebases is improving speed and adding AI features without breaking existing behavior, especially when legacy SQL procedures and Python modules are tightly connected. My approach is to first profile the slow paths, review query execution plans, add measurable benchmarks, and then refactor Python and SQL in small pull requests with clean documentation and code-review discipline. For the Gen AI scope, I can help prepare training data, fine-tune models, evaluate outputs, package reproducible notebooks, and deploy the model behind a reliable API for production use. I’m comfortable working in VS Code with GitHub Copilot, but I always treat Copilot output as draft code that must be reviewed, tested, and optimized before merging. I can also support complex SQL Server work including indexes, views, stored procedures, query plans, memory-heavy operations, and validation queries for feature outcomes. This matches the kind of engineering work where clean code, measurable performance gains, and production-ready AI deployment all need to move together. Thanks, Hercules

@jayprakashyadav

Hello, Your requirements align well with my experience in Python backend development, SQL optimization, and production-grade AI systems. I have strong experience working with Python microservices, API development, data pipelines, and complex SQL Server environments. I'm comfortable using VS Code, GitHub, Git workflows, pull requests, and Copilot-assisted development while maintaining strict code quality and review standards. My expertise includes: • Python (FastAPI, Flask, Django) • SQL Server performance tuning, stored procedures, views, and query optimization • Data analysis and reporting • Microservices architecture • GenAI applications using Hugging Face, LangChain, OpenAI APIs, RAG pipelines, vector databases, and model fine-tuning • Docker, CI/CD, Azure, AWS, and production deployments I focus on delivering measurable outcomes: ✓ Cleaner, maintainable code ✓ Faster database and application performance ✓ Production-ready AI services with monitoring and documentation ✓ Reproducible training and deployment workflows I can quickly onboard into an existing codebase, identify performance bottlenecks, contribute through well-documented PRs, and help move GenAI initiatives from experimentation to production. Available to start immediately and happy to discuss your current architecture, AI stack, and development workflow. Best regards, Jay

@shadabkhan92

As a seasoned Python-SQL engineer with more than six years of experience and at least two years dedicated to using Generative AI in production, I am confident that I'm the right fit for this role. Working mainly on VS Code and GitHub Copilot aligns perfectly with my preferences and practices. I'm comfortable utilizing Copilot to its fullest potential without compromising strong code-review discipline. In terms of daily tasks, I excel in coding new features and optimizing existing modules for speed, memory, and readability. My proficiency extends to efficient data analysis to validate feature outcomes and gain valuable insights. Mastering SQL server is one of my key strengths, while I additionally bring exposure with MySQL and PostgreSQL which could be beneficial for your project. What truly sets me apart is my exclusive experience with frameworks like Hugging Face Transformers and LangChain among others. This allows me to confidently own the entire model lifecycle—training, fine-tuning, and deploying Gen AI models into a live environment. In fact, I'm already envisioning how we can leverage my knowledge to train multiple reproducible models while ensuring seamless deployment through API.

@jarviskb

Hi, I’d be excited to contribute as a Python–SQL Engineer with strong GenAI production experience. I have hands-on experience working across Python microservices, backend APIs, SQL-heavy systems, data analysis workflows, and production-grade AI/LLM applications. I am comfortable jumping into an existing codebase, understanding architecture quickly, improving legacy modules, writing clean pull requests, and using GitHub Copilot in VS Code to move faster while still applying proper code review, testing, and engineering discipline. For the Python side, I can help build new features, refactor existing services, optimize speed and memory usage, improve readability, add tests, and create benchmarks to measure performance improvements. On the SQL side, I can work on complex queries, views, stored procedures, indexing, query tuning, reporting logic, and data validation workflows, especially around SQL Server-based systems. For the Generative AI scope, I can support the full lifecycle: data preparation, model experimentation, prompt/RAG workflows, fine-tuning using Hugging Face or similar frameworks, API deployment, monitoring, and reproducible notebooks/scripts. I have worked with LangChain-style workflows, LLM APIs, AI agents, document intelligence, and production AI backends. My focus would be to deliver clean Python and SQL code, measurable performance gains, reliable GenAI deployment, strong documentation, and maintainable handover assets for the team.

@PINESCRIPTERR

Hi, I read your project "Senior Python & GenAI Developer" and I can help with it. I would focus on backend structure, integrations, and reliable data flow. I noticed the relevant skills include Python SQL Software Architecture MySQL PostgreSQL Data Analysis Microservices Generative AI. My approach: 1. Review the current setup and confirm the exact requirements. 2. Implement the requested work in a clean, maintainable way. 3. Test the result and provide a clear handover with any setup notes needed. Clarification questions: 1. Which external services, APIs, or payment gateways need to be connected, and will test credentials be available? 2. What backend structure, database, user roles, and admin access should the implementation support? 3. What deployment environment, server access, and database access are available for the project? Best regards, Houssame

@dgmstudioinfo

As a seasoned Full Stack developer with over a decade of experience, I bring to the table extensive proficiency in both Python and SQL, making me ideally suited for this Senior Python-GAI opportunity. Throughout my career, I've crafted clean, well-documented code with a focus on performance enhancement, which aligns perfectly with your expectations. My expertise in DBMS (MySQL and PostgreSQL) has provided me with deep knowledge of varied databases, including your required SQL Server. Moreover, embracing cutting-edge technologies is my norm; this is reflected in my experience working with Hugging Face Transformers and annual training at the UTN. From training to fine-tuning to deployment, crafting Gen AI models rings a familiar bell for me - a fact that manifests in the deliverable that I will provide. Rest assured, not only will your GAI model be developed to high standards but I'll also create reproducible notebooks and deployment scripts that ensure long-term project viability. Lastly, beyond coding prowess, my clients often praise my commitment to project success. Transparent communication and a total dedication to client objectives are values I hold dear. Let's form a reliable partnership; choose me and together we will optimize your codebase, integrate new features elegantly, boost legacy module performance and deploy agile Gen AI models – all these leading to digital growth for your enterprise."""

@mrresearcher99

Hello, I am a Full Stack Developer with 10+ years of experience in Python, SQL, PHP, Laravel, Node.js, React, and cloud-based application development. I have extensive experience working with microservice architectures, performance optimization, database tuning, and production-grade AI integrations. I am highly proficient with SQL Server, including complex queries, stored procedures, views, indexing, and performance optimization. I also have hands-on experience building and deploying Generative AI solutions using LangChain, Hugging Face, OpenAI APIs, vector databases, and RAG architectures. I am comfortable working in VS Code with GitHub Copilot, following clean coding practices, conducting thorough code reviews, and delivering well-documented, maintainable code through structured pull requests. I can quickly onboard to your existing codebase, optimize legacy modules, contribute to data analysis initiatives, and help train, fine-tune, and deploy Gen AI models into production environments. I am available to start immediately and would be happy to discuss your project requirements in detail. Best Regards

@godesignpk

Hi, We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on Python, SQL, Software Architecture, MySQL, PostgreSQL, Data Analysis, Microservices, Generative AI Lets connect in chat so that We discuss further. Thank You

@ovxsolutions

Hi, I have strong experience with Python, SQL, microservices, data analysis, and Generative AI integrations. I can work directly in your existing codebase using VS Code, GitHub, and Copilot workflows while maintaining proper code quality through reviews and clean documentation. I can help with: * Python feature development and optimization * SQL Server query tuning, procedures, and performance improvements * Data analysis and validation * Gen AI model workflows using tools like Hugging Face, LangChain, APIs, fine-tuning, and deployment pipelines I focus on production-ready solutions with measurable performance improvements and maintainable architecture. Portfolio: freelancer.com/u/ovxsolutions⁠ Available to discuss your current stack and requirements.

@EightVeer

Hi there, We’re well aligned for this role: senior Python development, SQL-heavy engineering, performance tuning, and practical GenAI delivery. We can step into an active codebase, work cleanly in VS Code with Copilot, and still apply disciplined review practices across micro-services, queries, and model workflows. Our focus would be on readable, well-documented Python and SQL, measurable performance improvements backed by agreed benchmarks, and production-ready GenAI implementation with reproducible training and deployment artifacts. We also bring a commercial, hands-on approach to analysis and implementation oversight so the work stays moving and easy to review. If you want, we can begin by mapping the current architecture, identifying the highest-impact modules, and confirming the first delivery priorities inside the Freelancer workspace. Best Regards, 8veer