I take products from schema to shipped — apis, pipelines, and the model in between. Python, React, FastAPI, and whatever orchestration the system needs to stay calm under load.
B.Tech, Computer Engineering · Navi Mumbai, India · open to full-time roles
I like systems that stay calm under load — even when there's a model in the loop.
I'm a computer engineering student who ended up specializing in the seams between things: where a frontend calls an API, an API calls a model, and the model has to answer in under two seconds. Most of what I build lives in that gap.
Lately that's meant a Kubernetes-orchestrated interview platform with five services talking over Kafka, a RAG pipeline that turns YouTube lectures into notes and quizzes, and a meal-ordering app that taught me why "just add a cart" is never just anything.
When I'm not building, I'm usually in a Google Developers Group meeting mentoring people newer to this than me, or reading about whatever made this week's AI news cycle.
Python
Java
JavaScript
React
HTML5
CSS3
FastAPI
Django
Flask
PHP
PostgreSQL
MySQL
Redis
Supabase
Gemini API
RAGRAG
FaFAISS
Docker
Kubernetes
Kafka
GitHub Actions
Built a document-generation tool covering certificates, recommendation letters, and joining letters by replacing manual drafting with one workflow. Shipped dynamic, responsive templates with real-time preview, one-click PDF export, and form-driven inputs that auto-populate personalized data.
A cloud-native AI interview platform, scoring candidates in real time across 5 microservices.
Turns any YouTube lecture into notes, quizzes, flashcards, mind maps, and interview prep via RAG.
Full-stack meal ordering app with auth, cart-to-checkout flow, and a modular Flask backend.