Open to remote and hybrid roles

KeshavKunver

Los Angeles

AI Engineer building reliable AI-native products from 0 to 1.

I ship LLM products end to end: tool-calling agents, real-time voice AI, and the eval suites that keep them working in production.

I also run build sessions and make websites for local businesses. Two ways to work with me.

Off the clock

My NBA dreams didn't pan out, so I redirected the obsession into software.

NBA Finals Prediction: 76ers vs Lakers · 7/26/26

  • Bron, Jaylen Brown, and Embiid (when healthy) sound unstoppable
  • Luka has time to reset and more room to play like himself now that LeBron's gone
  • Philly's been starving for a Finals run, and the Lakers can be the dark horse even with the Thunder and Spurs heavily favored
  • #TrustTheProcess has finally come
Keshav Kunver
4
Products Shipped
From 0 to 1
200+
Users
Eternal Dharma, at peak
1M+
Views
Short-form social content
6+
Years Experience

The Work

A selection

Problem

Social media isn't social. People scroll for hours and end up lonelier than when they started.

Built

A social web app with an AI agent that plans real-world meetups from natural-language chat. Built on a Claude tool-calling agent with multi-turn confirmation and safety guardrails, a real-time voice AI moderator (Pegasus, on LiveKit), and ~20 generative endpoints. Backed by a unit-test suite that encodes past agent failures as regression tests.

Outcome

Shipped the MVP. Co-founded and built 2025–2026.

Next.jsReact 19TypeScriptSupabaseVercelAnthropic ClaudeLiveKitPython

Problem

People want spiritual guidance but don't know where to start or how to apply ancient wisdom to modern life.

Built

An iOS app giving personalized, scripture-grounded spiritual guidance. A persona-constrained LLM assistant (Claude) with a scripture-sourced system prompt and citation rules, backed by structured verse and commentary data.

Outcome

Grew to 200+ users at peak

React NativeExpoTypeScriptFirebaseClaude (via OpenRouter)

Problem

Basketball stats are scattered and hard to read. Coaches, scouts, and fans want clear insights without digging through raw box scores.

Built

A web app that turns player and team stats into visual, digestible analysis for coaches, scouts, and super-fans.

Outcome

Live web app

Next.jsNode.jsD3.jsChart.jsMongoDB

Capabilities

Core focus

AI Product Engineering

I take LLM products from idea to production: tool-calling agents, RAG, structured outputs, and real-time voice AI. Hands-on with Claude and OpenAI APIs, the Vercel AI SDK, and LiveKit.

Full-Stack Delivery

Next.js, React, React Native, TypeScript, Python. Supabase, Firebase, Vercel. From idea to a live, monetized app.

Reliability, Evals & Testing

The reason my AI features hold up in production. Eval suites and regression tests turn every agent failure into a named test, so the same bug can't ship twice. Six years of quality engineering, pointed at non-deterministic systems.

Industry

Software Development Engineer in Test (SDET)

Infosys

Mar 2021 - Present
  • Design and maintain the UI, API, and CI/CD automation frameworks that gate releases for enterprise product teams
  • Cut regression effort 40% and related API defects 25% through framework and pipeline design
  • Working with dev and product teams to fold AI tooling into the release workflow
JavaREST APIsMySQLReactTypeScriptCI/CDAI

Software Engineer

Prathibha Management

Aug 2019 - Jan 2021
  • Shipped full-stack Django platform connecting LA talent with Hollywood casting opportunities
  • Built talent-matching system that helped performers land real roles
PythonDjangoPostgreSQLFull-Stack

Education

MS Software Engineering

CSU Fullerton, 2025

4.0 GPA

BS Computer Science

UC Riverside

Contact

Want to talk AI products or basketball? Either works.