READ THE PAPER ↗
·
OPEN FULL PORTFOLIO ↗
tarang@builder:~$ cat /etc/operator.conf
product = rough idea -> working system -> real user feedback
languages = TypeScript, Python, SQL
systems = AI agents, MCP, RAG, APIs, full-stack products
tools = React, Next.js, FastAPI, PostgreSQL, Supabase, AWS, Vercel
standard = own the product, test the edges, ship the whole thing
currently = building useful AI products from rough idea to production
tarang@builder:~$ man tarang
NAME
tarang - AI product engineer who likes ambiguous problems
SYNOPSIS
tarang [idea] --build-end-to-end --talk-to-users --measure
DESCRIPTION
Builds agentic products across the model, backend, frontend,
integrations, deployment, and evaluation layers.
NOTES
8x hackathon and competition winner.
Published research on multivariate forecasting with foundation models.
Sleep is available as an optional dependency.
Rendered from one dependency-free Python system and refreshed by GitHub Actions.