Los Angeles / Remote

KeshavKunver

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

I build production LLM apps: agents, RAG, and the evals that keep them from breaking.

Available for opportunities
Keshav Kunver
200+
Users
Eternal Dharma, at peak
4
Products Shipped
1M+
Views
Short-form social content (Eternal Dharma)
6+
Years Experience

The Work

A selection

Current focus
FourthSpace

FourthSpace

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

MVP live.

Next.jsReact 19TypeScriptSupabaseVercelAnthropic ClaudeLiveKitPython
Eternal Dharma

Eternal Dharma

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)
HoopIntel

HoopIntel

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

AI Engineering

Production LLM apps: tool-calling agents, RAG, structured outputs, and real-time voice AI. Hands-on with Claude and OpenAI APIs, the Vercel AI SDK, and LiveKit.

Core focus

Reliability & Evaluation

Eval suites and regression tests that turn past agent failures into named tests, so the same bug can't ship twice. Six years of SDET discipline, pointed at non-deterministic AI.

Full-Stack Delivery

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

Industry

Software Development Engineer in Test (SDET)

Infosys

Mar 2021 - Present
  • Design and maintain UI, API, and CI/CD test-automation frameworks that improve coverage and release stability
  • Cut regression effort 40% and related API defects 25%
  • Integrating AI tooling into the testing 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