Project index / 2024–2026
A concise record of deployed systems, research, and experiments. Each entry highlights the constraint, the technical decision, and the evidence available.
01 / INDUSTRY
LLM-powered WhatsApp inquiry platform for pharmaceutical distribution, built from scratch with Azure OpenAI classification, Azure App Service deployment, and Snowflake-backed logging.
Architecture
02 / INDUSTRY
FastAPI analytics stack delivering customer insights to pharmaceutical field representatives. A versioned SQLite snapshot strategy, validated in GitHub Actions, replaced recurring warehouse reads for the delivery use case.
Delivery architecture
03 / RESEARCH
A framework that separates forecasting from execution, combining LSTM models with PPO, DQN, and SAC agents. Evaluated using risk-adjusted NIFTY-50 backtests.
04 / DEPLOYED EXPERIMENT
A Random Forest classifier served through FastAPI to demonstrate the full path from a trained model to an inspectable prediction interface. The training data is synthetic by design.