Pranav Sharma

I've built production-grade applications across REST APIs, machine-learning pipelines, automation tools, and full-stack web projects. My work emphasizes clean, maintainable code, SOLID principles, documentation, testing, and Git-based collaboration.

For a Finance Dashboard API, I designed a layered FastAPI REST architecture with SQLAlchemy, SQLite, JWT middleware authentication, and role-based access control. All 14 integration tests passed using pytest and FastAPI TestClient, with endpoint documentation prepared throughout.

I also built a Stock Price Predictor with Django, Scikit-learn, Pandas, Streamlit, and Matplotlib, achieving 85%+ directional accuracy through feature engineering and iterative debugging. In Data Finder, I created an automation tool that reduced manual processing time by approximately 40%.

I'm open to relocation and ready to contribute across backend development, APIs, ML applications, and automation while continuing to deepen my knowledge of Docker, Redis/Celery, PostgreSQL, C++ STL, and system design.