01Product
PropSearch
A property platform for buying, renting and selling homes across India.
- Role
- Full-stack developer
- Platforms
- Web · Android · iOS
- React Native
- Expo
- Node.js
- NestJS
- Supabase
- Google Maps API
- +2
Hello! I'm
A technical
Engineer, Product lead, Builder
Product, engineering & delivery — turning real problems into web, mobile and AI-assisted products.
Mohali, IndiaScroll
01 / About me
I work across product, engineering and delivery. Four-plus years of building — from leading ten-plus engineers on an enterprise Web3 platform to running operations as a founding COO — turning real-world problems into products people actually use. Lately, I'm teaching agents to do the repetitive work.
- 4+years across engineering & operations
- 5products on Google Play
- 3also on the App Store
- 10+engineers led
What I do
02 / Four things, usually at the same time
My career &
experience
03 / From code to company
- 2019
B.Tech, Computer Science
Chandigarh Group of Colleges, Landran
Computer Science & Engineering, 2019 – 2023.
- 2022
Software Development Engineer-1
Cybernext
Led a team of 10+ engineers building an enterprise Web3 trade-financing platform from concept to production — multitenant SaaS architecture, DeFi protocols and smart contracts on Ethereum and Optimism.
- 2025
Software Engineer Consultant
Skuchain · Freelance
Designed and built a Web3 trade-finance platform for global supply-chain enterprises, from ideation and prototyping through MVP and launch.
- 2025
Chief Operations Officer
Exaflair Technologies · Founding team
Owned delivery of products live on the App Store and Google Play, led roadmaps across web and mobile, delivered enterprise Web3 products, and ran operations, budgeting and hiring.
- Now
Building with AI
Agents & automation
Exploring agentic workflows, multi-agent systems and AI-assisted tools for practical, repetitive business problems.
04 / Selected work
Products I've helped build and ship.
Live products on the web and in the app stores, client work, and one platform I can only talk about at a high level. Each one is labelled with the role I actually played.
02ProductQOX
Food, groceries, packages and rides in one app.
- Role
- Technical Product Manager
- Platforms
- Web · Android
Led a team of 4 across three apps.
- React Native
- Node.js
- Express
- Socket.io
- Supabase (PostgreSQL)
- Google Maps SDK
- +2
03ProductCartlyst
A curated fashion marketplace on the web, Android and iOS.
- Role
- Full-stack developer
- Platforms
- Web · Android · iOS
- Next.js
- React Native
- Expo
- Supabase
- InstantDB
- Razorpay
- +1
04ProductClawkind
Find, book and pay for trusted local pet care.
- Role
- Full-stack developer
- Platforms
- Web · Android · iOS
- React Native
- Expo
- Supabase
- Redux
- React
05ProductSoloYolo
A map-based social app for solo travellers.
- Role
- Full-stack developer
- Platforms
- Web · Android
- React Native
- Expo
- Tailwind CSS
- Supabase
My techstack
05 / What I build with — move your cursor through it
- React
- Next.js
- React Native
- Expo
- TypeScript
- Node.js
- NestJS
- Supabase
- PostgreSQL
- Tailwind
- Socket.io
- Ethereum
- Wagmi
- Docker
- AWS S3
- Vercel
- Razorpay
- Claude Code
06 / AI & experiments lab
Things I'm figuring out with AI.
Internal experiments in agents and automation — aimed at practical, repetitive business problems. Labelled honestly: these aren't public products.
- EXP-01Internal
Upwork Lead Pipeline
AI-assisted lead qualification and proposal drafting.
Qualifying leads and writing proposals is repetitive work that still needs judgement. This internal pipeline uses AI to help qualify incoming Upwork leads and draft proposals.
Exploring
- Where AI can take the first pass, and where a person should decide
- Turning a manual sales routine into a repeatable workflow
- EXP-02Experiment
Video-Editor Agent
An agent that learns from YouTube tutorials.
An experiment in whether an agent can pick up editing techniques by learning from YouTube tutorials.
Exploring
- Turning tutorial content into knowledge an agent can act on
- How to judge whether the agent actually learned something
- EXP-03Exploring
Paperclip Multi-Agent Workspace
Coordinating multiple AI agents as a working team.
A multi-agent workspace built with Paperclip — exploring how several AI agents can be organised, given roles, and coordinated on shared work.
Exploring
- Role design and hand-offs between agents
- Where coordination breaks down, and what keeps it on track
Everyday toolkit
- Claude Code — daily
- Claude chat & browser extension
- Agentic & multi-agent workflows
- Browser automation with Selenium
- Evaluation loops for AI output quality
07 / Contact