I build production-grade full-stack web applications, REST APIs, and scalable backends. My core experience includes: • Developing responsive frontends with Next.js, React, TypeScript, and Tailwind CSS • Engineering REST APIs and microservices using FastAPI, Node.js, Express, and Redis • Managing MongoDB and PostgreSQL databases (MERN & Python backends) with Docker containerization • Building scalable platforms such as AutoFlow, team management portals, and IoT telemetry dashboards • Leveraging modern engineering tools (Cursor, Claude, Copilot) for efficient, production-ready code delivery

I design and deploy AI-powered applications, RAG pipelines, and machine learning systems. My expertise includes: • Building end-to-end RAG pipelines for PDF/image parsing, OCR vitals extraction, and contextual document Q&A • Integrating LLMs (OpenAI, Claude) for natural language prompt execution and automated workflow planning • Developing and training ML models (XGBoost, Random Forest, Scikit-learn) with real-time FastAPI endpoints • Implementing predictive maintenance classification, health risk scoring, and rule-based fallback systems • IBM Certified in Generative AI Engineering & 2x Hackathon Winner

I engineer data pipelines, transform raw data into analytics-ready datasets, and deliver data-driven insights. Key work includes: • Building and orchestrating end-to-end ETL pipelines using Python, Apache Airflow, and PostgreSQL • Designing Bronze → Silver data transformation architectures (converting raw CSVs into Parquet & SQL datasets) • Automating data validation and schema checks across 5+ pipeline stages to guarantee data quality and reliability • Performing data preprocessing, feature analysis, and statistical reporting with Pandas, NumPy, and SQL • Converting complex system telemetry and operational metrics into actionable business dashboards