Building scalable backend systems and AI-powered applications with Django, Spring Boot, FastAPI, and AWS. Final-year CS student · SGPA 9.16 · Ex-Infosys intern.
Final-year CS student at Sahyadri College with a focus on backend architecture, cloud deployment, and AI-integrated systems.
From microservices with RabbitMQ to RAG pipelines with LangChain and Gemini — I build things that solve real problems cleanly.
150-day LeetCode streaks in both 2024 and 2025. Not because I had to, but because I like the puzzle.
A personalized AI tutoring system with adaptive learning paths. An MDP-based Planner Agent sequences modules and enforces prerequisite mastery before advancing topics. RAG pipeline grounds all responses in the student's uploaded documents instead of relying on general model knowledge.
Full-stack campus ticketing system with real-time seat tracking and atomic double-booking prevention, deployed end-to-end on AWS.
Microservices fitness platform with three independently deployable services — User, Activity, and AI. RabbitMQ decouples activity ingestion from AI processing so the main API stays non-blocking. Google Gemini API generates personalized fitness plans from user activity data.
A Spring Boot application that generates professional email drafts using Google Gemini API. Users provide a subject and tone, and the AI produces a complete, ready-to-send email.
A complete authentication and authorization system built with Spring Boot and Spring Security. Implements JWT token-based auth with role-based access control, user registration, and protected route handling.
Open to internships, full-time SWE roles, and interesting conversations about backend systems and AI.