Anuj Ojha — AI product engineer

About

Anuj Ojha.

AI product engineer · Bhopal, India

Anuj Ojha is an AI product engineer based in Bhopal, India. He designs, builds and ships AI products end to end — agent tooling, LLM evaluation and LLM observability — and has shipped seven products across seven unrelated fields, plus twenty-five pull requests merged into Comet Opik, LiteLLM and Arize Phoenix.

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01In his words

“I find what’s missing in a field, then design and ship the whole thing myself — and I don’t call it done until there’s a number proving it. Seven products across seven unrelated fields so far, plus twenty-five patches merged into tools other teams run in production.”

02How he works

Every product was made with AI agents, and none of it was trusted without a number: 2,222 tests across the products, and a release that fails without them. Each product page also publishes the number that counts against it — seven times, across every product. Design and engineering are the same job when one person does both.

03Open source

Twenty-five merged pull requests into LLM-observability tools other teams run in production: Comet Opik (21), BerriAI LiteLLM (2) and Arize Phoenix (2) — fixes to how token costs are counted, each shipped with a regression test.

04On the record

  • IEEE CODE-2K26 — “AI-Driven Circular Subscription Fashion for Smart, Sustainable Urban India”, lead author, presented 18 Apr 2026 at OIST Bhopal.
  • Sipcode — #12 Product of the Day on Product Hunt (143 points).
  • Hackathons: OpenAI × NamasteDev Codex Hackathon (Jul 2026, built Judix); Razorpay AI Buildathon (Sep 2026, built Pakka); RevenueCat Shipaton 2026, Next Gen track (Sep 2026, built Epley Coach).
  • Data Scientist Intern, Hackveda Solutions (remote), Jul–Oct 2025.

WORKWhat he has built

Q&AQuestions about Anuj Ojha

Who is Anuj Ojha?

Anuj Ojha is an AI product engineer based in Bhopal, India. He designs, builds and ships AI products end to end — agent tooling, LLM evaluation and LLM observability — and has shipped seven products across seven unrelated fields, plus twenty-five pull requests merged into Comet Opik, LiteLLM and Arize Phoenix.

What has Anuj Ojha built?

Seven products: Sipcode (token optimisation for AI coding agents); Judix (real-time evals for agents and RAG); Pakka (pre-authorisation conformance gate for agent payments); Answerfox (sEO toolkit for AI search engines); Sotto (anonymous secret santa); CIRQLE (aI-driven circular fashion rental); Epley Coach (phone-guided treatment for BPPV vertigo). Each has its own page at anujojha.com/work.

Which open-source projects has Anuj Ojha contributed to?

Twenty-five merged pull requests into LLM-observability tools other teams run in production: Comet Opik (21), BerriAI LiteLLM (2) and Arize Phoenix (2) — fixes to how token costs are counted, each shipped with a regression test.

What is Anuj Ojha best known for?

Sipcode, his most-used product: an open-source toolkit that keeps Claude Code's context clean, with more than 10,000 npm downloads, a listing on the official MCP Registry and #12 Product of the Day on Product Hunt.

Where is Anuj Ojha based, and where does he study?

He is based in Bhopal, India, and studies for a B.Tech in Computer Science and Business Systems at OIST Bhopal (2023–2027).

How can I contact Anuj Ojha?

By email at ojhaanuj224@gmail.com, or on LinkedIn (linkedin.com/in/anujojha18), GitHub (github.com/Anuj7411) and X (@anujshipscode).