Languages:

Frontend:

Backend & APIs:

Databases:

Cloud & DevOps:

AI & Tools:

Python • FastAPI • React • TypeScript • PostgreSQL • Docker • GitHub Actions

Architected and developed a full-stack Machine Learning Operations (MLOps) platform designed for computational biology workflows. MicroFlow enables researchers to manage datasets, track complex ML experiments, and execute distributed training pipelines in a containerized environment.

• Engineered a high-performance REST API with FastAPI and SQLAlchemy ORM.
• Developed a highly responsive, mobile-first React dashboard using Vite and Tailwind CSS.
• Implemented robust CI/CD pipelines using GitHub Actions with 188+ automated backend tests.
• Deployed a multi-tier cloud architecture across Neon (PostgreSQL), Render (Backend), and Vercel (Frontend).

React Native • Expo • Node.js • PostgreSQL • Supabase

A bilingual mobile-first platform built for Women's Self Help Groups (SHGs) to digitize savings, meetings, member management, and loan operations.

• Integrated an AI Voice Assistant tailored for low-literacy users.
• Built an immutable financial ledger with role-based access control.
• Generated dynamic PDF reports and digital passbooks.
• Successfully adopted by multiple active SHGs.

Python • FastAPI • React • XGBoost • PostGIS

An AI-powered Traffic Operations Intelligence Platform developed during Flipkart GRID to assist traffic control centers with predictive analytics.

• Engineered traffic demand prediction and incident risk analysis models.
• Developed a GIS-based visualization dashboard for real-time decision support.

• Architected and deployed the MicroFlow ML Platform (2026).
• Winner of Multiple National-Level Hackathons.
• Winner of a National Prompt Engineering Competition (1st Place).
• Qualified for Flipkart GRID Round 2.
• Qualified for Smart India Hackathon Round 2.
• Winner of the Clean City Innovation Competition.
• Graduated with a B.E. in Information Technology.