About Me ๐ I have completed my Master's in Computer Science at the
University of Southern California (USC).
๐ My most recent role was developing full-stack AI solutions as a
Software Engineer at Headstarter AI.
๐ I am a
Smart India Hackathon 2022 Grand Finale Winner and have achieved recognition in multiple other coding competitions.
๐ฌ Ask me about Java, Spring Boot, Microservices, React.js, Next.js, and AWS.
๐ซ You can reach me at
๐ View my full experiences on my Resume.
Featured Projects
FitCoach | Microservice Fitness Coaching Platform
Engineered a microservice fitness-coaching platform that broadcasts workout events over RabbitMQ and auto-discovers services with Eureka. It renders live progress in a Next.js dashboard and features a Gemini AI inference layer for personalized coaching. The entire system is orchestrated and deployed end-to-end via Docker on AWS.
Tech Stack: Spring Boot, Next.js, AWS, RabbitMQ, Docker CI/CD, PostgreSQL, MongoDB , Gemini Al.
Xpense | Event-Driven Expense Tracker
Architected an event-driven expense tracker using Spring Boot microservices on Kafka, exposed through a Kong API Gateway and containerized with Docker on AWS. It features a React Native mobile app and a Flask + LangChain service with Mistral AI to convert unstructured notifications into structured JSON, automating 80% of data parsing workflows.
Tech Stack: React Native, Java, Spring Boot, Flask, LangChain, Mistral AI, MySQL, Kafka, Docker, AWS.
AI FlashCards | Generative AI SaaS
Built a full-stack generative flashcard SaaS using OpenAI and LangChain. The platform integrates Clerk for secure access control and Stripe for monetization.
Tech Stack: Next.js, LangChain, OpenAI, Tailwind CSS, Clerk, Firebase , Stripe.
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