Dhana Prasad

I've designed and deployed scalable AI-driven backend systems using FastAPI and Django, integrating transformer-based models into production with optimized inference pipelines.

My work focuses on reducing API latency through performance tuning and PostgreSQL query optimization. I also implement JWT authentication, structured exception handling, logging, validation layers, and automated testing to support reliable production services.

For AI Finance, I built modular REST APIs for financial forecasting and NLP-based insights extraction, using indexing and query optimization in PostgreSQL.

I also developed the SHL AI Assessment Recommender, creating role-to-competency mapping logic, validation checks, and high-performance API endpoints. I'm comfortable debugging root causes, refining AI-generated code, and improving codebases for maintainability and scalability.