Ankit Kumar

Founding Engineer · Voice AI, agents & production systems

Experience

Optima Learn - Founding Engineer

September 2025 - Present · Noida

  • Lead engineering for an AI-native CAT exam-prep platform (10K+ students): Next.js student app, admin console, NestJS/PostgreSQL API, and a React Native app live on iOS and Android.
  • Architected and built Opto, the platform’s personal AI coach, end to end: agent design, student context and memory, safety and evals, and production infrastructure.
  • Built Opto’s real-time voice pipeline (streaming STT → reasoning model → sentence-level TTS over WebSockets, with barge-in), 2.5 s median reply; removed a hard 20-concurrent-user ceiling with per-utterance STT leases and a Postgres limiter shared across autoscaled Cloud Run instances.
  • Cut worst-case AI coach cold start from 60+ s to under 20 s by replacing an unbounded dependency wait with a timed race and instant status feedback.
  • Led production debugging and performance work: traced a crawler traffic surge to database connection-pool limits, and cut the founder dashboard from ~190 to ~50 queries per load.
  • Migrated Firestore to PostgreSQL (Prisma); built the GCP infrastructure in Terraform, with CI/CD, Langfuse LLM tracing, a per-call cost ledger, alerting and logging.

Zarle Infotech - Software Engineer

June - August 2025 · Noida

  • Built Next.js/TypeScript interfaces for Optima Learn as an agency engineer, with accessibility in mind; later joined full-time as its Founding Engineer.
  • Integrated Firebase Auth, Firestore and Cloud Functions; shipped production releases on Vercel.

GEMS of JCI - Software Development, Research & Data Analysis Intern

September 2023 - May 2024 · Delhi

  • Built social-platform features with React/Redux, Node.js/Express and MongoDB in a team of three.
  • Cut data-processing time 20% with aggregation pipelines and indexes.

Projects

Askcode

January 2025 · Next.js, tRPC, PostgreSQL/pgvector, Prisma, LangChain, Gemini

  • Built a RAG assistant for GitHub repositories that embeds file summaries into pgvector and retrieves context for natural-language questions.
  • Implemented cosine-similarity retrieval over 768-dimensional embeddings, token-streamed answers through the Vercel AI SDK, and prompt-level grounding.

https://askcode-blond.vercel.app/

Technical toolkit

Languages
TypeScript, JavaScript, SQL, C++
Frontend
React, Next.js, React Native, TanStack Query, Tailwind
Backend/data
NestJS, Node.js, PostgreSQL, Prisma, WebSockets, SSE, MongoDB
AI
OpenAI APIs, tool-calling agents, LangGraph, LangChain, RAG, pgvector, Sarvam STT/TTS, Langfuse, evals
Cloud & ops
GCP (Cloud Run, Cloud SQL, Cloud Tasks), Terraform, Docker, GitHub Actions, Sentry, PostHog, OpenTelemetry
AI tools
Claude Code (subagents, skills, MCP), Codex

Education

Maharaja Agrasen Institute of Technology

2021 - 2025 · Delhi

B.Tech in Information Technology · 80%