Python Backend Engineering
I build robust, scalable backend systems using Python with frameworks like FastAPI and Django. My backend services follow clean architecture principles with clear separation of concerns, comprehensive test coverage, and production-ready deployment configurations. I design RESTful and GraphQL APIs that are documented, versioned, and optimized for performance.
Key backend capabilities include async I/O with asyncio, SQLAlchemy ORM for database interactions, Redis caching, message queues with Celery, and WebSocket support for real-time features. Every API I build includes input validation, authentication, rate limiting, and structured logging.
AI & Machine Learning with Python
Python is the language of AI, and I leverage its ecosystem to build end-to-end machine learning solutions. My AI work spans the full pipeline: data collection and preprocessing, model training with PyTorch and scikit-learn, model serving with FastAPI, and monitoring in production.
LLM Integration & Prompt Engineering
I integrate large language models into practical applications using LangChain, OpenAI APIs, and retrieval-augmented generation (RAG). These systems enable document Q&A, content generation, intelligent search, and automated workflows. I handle context management, prompt optimization, and cost-aware model routing.
Data Pipelines & ETL
I build data pipelines with Pandas, NumPy, and SQLAlchemy that transform raw data into actionable insights. From web scraping to API ingestion to database ETL, I ensure data flows are reliable, monitored, and recoverable.
Automation & Scripting
Python excels at automation, and I use it extensively for workflow automation, web scraping, system administration scripts, and CI/CD tooling. Whether it's automating report generation, orchestrating microservices, or building deployment scripts, Python delivers maintainable and efficient solutions.
Frequently Asked Questions
What Python frameworks do you use?
I primarily use FastAPI for modern async APIs and Django for larger applications with built-in admin interfaces. For ML work, I use PyTorch, scikit-learn, and Hugging Face Transformers.
Can you build a REST API with Python?
Yes. I design and implement RESTful APIs with FastAPI or Django REST Framework, including authentication, database integration, input validation, API documentation (OpenAPI/Swagger), and production deployment.
Do you integrate Python backends with frontend frameworks?
Absolutely. I build full-stack applications where Python serves the backend API and integrates with React, Next.js, or other frontend frameworks. Communication happens over REST, GraphQL, or WebSockets.
Can you work on existing Python codebases?
Yes. I am comfortable joining ongoing projects, reviewing existing code, refactoring legacy systems, and contributing incrementally. I follow PEP 8 conventions and maintain high code quality standards.