Full-stack product engineer · Bengaluru, India

I build and ship products across web, APIs and mobile.

React and TypeScript are home base. I work end-to-end—from product UI and state management to Node/Express APIs, Postgres or MongoDB, background jobs, integrations and AI-powered workflows.

Product-minded frontendReliable APIs & data flowsMobile + native integrationsAgentic AI & model routing

Flagship work

Products with real users, real constraints and real engineering.

I’d rather show the things I’ve carried deeply than bury them under twenty tutorial projects.

01 Live PWA

Learning · spaced repetition · AI

Recall

A calm spaced-repetition product for developers. Recall turns direct notes and selected Notion pages into atomic concepts, keeps a deliberately small Active Set, and serves short active-recall sessions so useful ideas actually stick.

01 React + TypeScript PWA with Zustand, Tailwind and offline-capable app architecture.

02 Express API backed by Supabase/Postgres, SQL migrations and idempotent database functions.

03 Notion ingestion, Groq/Gemini generation, a separate reminder worker, FCM push and automated tests.

ReactTypeScriptExpressSupabasePostgreSQLZustandPWAGroqGemini
02 Google Play

Accountability · mobile · AI verification

Covenant

An Android-first accountability platform built around commitments, squads and proof-based progress. Users verify habits through AI photos or health data, build reputation, and add actual consequence to goals that are otherwise too easy to abandon.

01 React Native + Expo app with NativeWind, Expo Router, Reanimated and TanStack Query.

02 Supabase/Postgres for auth, realtime data and backend workflows across social squads and commitments.

03 Tiered Groq/Gemini/GPT-4o verification plus health-data integration for low-friction proof.

React NativeExpoTypeScriptSupabasePostgreSQLGoogle FitNativeWindAI Vision

More shipped work

Developer tooling + earlier builds.

Projects that show a wider range across agentic systems, browser tooling and frontend product work.

VS Code · agentic systems

Catalyst

Published AI product-studio extension with specialised agents, structured handoffs, model routing, retries and provider failover.

PopChoice movie recommendation interface

AI recommendation

PopChoice

Movie discovery experience combining React, semantic search and AI-assisted recommendations.

AI Resume Assistant browser extension

Browser tooling

AI Resume Assistant

A browser extension for improving and tailoring résumé content with AI-assisted workflows.

Current stack

The tools I can actually build with.

No percentage bars, no giant logo wall. These are technologies I use across shipped products, work and current learning.

FRONTEND + MOBILE

Product interfaces

React, TypeScript, JavaScript, React Native, Expo Router, Vite, Tailwind CSS, NativeWind, React Router, Redux Toolkit, RTK Query, Zustand and TanStack Query.

ReactTypeScriptReact NativeExpoTailwind

BACKEND

APIs & services

Node.js, Express, REST APIs, Zod, JWT, RBAC, Redis, auth/OAuth, background workers, cron workflows, notifications and service integration.

DATA

Postgres + MongoDB

Supabase/PostgreSQL, SQL migrations, pgvector, MongoDB, Mongoose, schema modelling, aggregation, indexes, transactions and query optimisation.

AI + AGENTIC

Models as a system

Multi-agent orchestration, model routing and failover, RAG pipelines, Groq, Gemini, GPT-4o, Ollama, Stable Diffusion, Figma API and structured agent handoffs.

QUALITY + SHIPPING

From local to production

Vitest, Testing Library, Playwright-style UI testing, Git/GitHub, Docker, AWS EC2/S3, OCI, Linux, PWA/service workers, Vercel, Netlify, Northflank, n8n and modern coding-agent workflows.

VitestDockerAWSGitHubPWAPlaywright

How I work

AI speeds me up. It doesn’t replace knowing what the system is doing.

I’m a full-stack developer who likes owning the full path from interaction to database. My strongest area is React/TypeScript + Node/Express, and recent product work has pushed me deeper into Postgres/Supabase, mobile development, background services, notifications and agentic AI systems.

I use coding agents aggressively for speed, but I review generated code for correctness and maintainability rather than shipping it blind.

01Ship the smallest useful product, then iterate.
02Understand the data flow before abstracting it.
03Use AI to remove toil, not judgment.

Open to strong product teams

Need someone who can move from product idea to working software?