YashNayan.

Microservices-based secure file storage and sharing platform with RBAC, object storage integration, and scalable gRPC communication.

• ▸Designed a microservices architecture with API Gateway, Authentication, Storage, and Sharing services communicating through gRPC.
• ▸Implemented JWT-based stateless authentication with Admin and User Role-Based Access Control (RBAC).
• ▸Integrated MinIO object storage with PostgreSQL metadata management and configurable storage quotas.
• ▸Built secure file-sharing capabilities with configurable visibility, expiration links, and access controls.
• ▸Developed an Admin dashboard for analytics, user management, and global file oversight.

AI-powered aviation incident classification system processing 38,000+ records with semantic embeddings and configurable ML pipelines.

• ▸Built a FastAPI-based inference pipeline delivering sub-second classification on 38,000+ aviation incident reports.
• ▸Developed a modular YAML-driven classification engine powered by SBERT semantic embeddings.
• ▸Implemented an 86-test Pytest validation suite ensuring production-grade reliability and correctness.
• ▸Eliminated temporal data leakage across all classification workflows and evaluation pipelines.
• ▸Reduced rule-update cycles from days to minutes through configurable ML workflows.

Reinforcement learning framework for intraday stock trading with custom simulation environments and interactive analytics dashboards.

• ▸Developed an interactive Streamlit dashboard for model training, backtesting, and trade replay.
• ▸Integrated advanced reinforcement learning algorithms including PPO and SAC.
• ▸Designed a custom Gym trading environment simulating slippage and transaction costs.
• ▸Implemented configurable reward strategies including Sharpe Ratio and Profit/Loss optimization.
• ▸Built automated feature engineering pipelines generating RSI, MACD, and Bollinger Bands from OHLCV data.