Senior Full Stack Developer

I manage and mentor a team of five engineers, leading sprint planning, code reviews, and technical delivery for a B2B SaaS platform in an Agile/Scrum environment. I lead end-to-end development using Python, Django, FastAPI, React, and PostgreSQL for a product serving more than 6,000 active users.

I design and optimize high-traffic REST APIs through PostgreSQL query tuning, indexing, and Redis caching. I architect asynchronous processing with Celery and RabbitMQ for notifications, data synchronization, and third-party integrations.

I integrated OpenAI and Anthropic Claude APIs for AI-assisted clinical documentation and coding recommendations, reducing manual chart review time by 30%. I also built React and TypeScript dashboards, containerized services with Docker, and automated testing and deployment through GitHub Actions on AWS.

I developed SaaS features using Django REST Framework and React, delivering 12 production releases across six sprints. I built and documented REST and GraphQL APIs using OpenAPI/Swagger and integrated internal services with payment, authentication, and analytics providers.

I built an asynchronous FastAPI telehealth signaling service using WebSockets, graceful reconnection logic, and PostgreSQL-backed state management. This reduced call setup time by 38% and decreased dropped calls by 8% across thousands of concurrent sessions.

I designed an LLM-powered clinician-patient matching engine using LangChain, OpenAI embeddings, and pgvector for semantic specialty and availability scoring. The solution reduced match-generation latency by 18% while handling more than 10,000 concurrent requests.

I built a Python-based clinician and candidate search system using Sentence Transformers and Elasticsearch. After migrating the search capability to AWS OpenSearch, I reduced search latency by 35%.

I created a reusable React component library with more than 25 components, improving UI consistency and reducing development time by 30%. I also developed AI and machine learning solutions in Python using TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.

I wrote unit and integration tests with Pytest and Jest and helped enforce testing standards through code review.