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Gaurav BomraGB
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Gaurav Bomra

@gauravstack

Generative AI Engineer | Python, FastAPI, RAG I'm a self-taught AI engineer with about 3 years of hands-on experience building LLM-powered products,

India
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What I'm looking for

Self-taught AI engineer with 3 years of experience, looking for a full-time remote role in AI, backend, or full-stack. I build RAG systems, agents, and the infrastructure that keeps LLM apps reliable in production. I want to own features end to end and learn from senior engineers on a team that ships.

I'm a self-taught Generative AI engineer based in India. I've been building software for about 3 years, and lately I've focused on LLM-powered products: retrieval systems, agents, and the backend and frontend around them. I'm finishing a BCA at S.L.N. Hindu College, and I've worked as a freelancer building AI automation for clients.

My main stack is Python, FastAPI, Next.js, PostgreSQL with pgvector, LangChain, LangGraph, Redis, and Docker. I've built with Gemini, Claude, and Groq APIs.

What I've built:

  • Agent Orchestration System: a multi-agent system where a supervisor agent breaks tasks into subtasks and hands them to specialist agents that use real tools through MCP. It has long-term memory (Redis + ChromaDB), human-in-the-loop approvals, OpenTelemetry tracing with replay, and a React review UI. It has 10 end-to-end tests against real Postgres, Redis, and Chroma containers, and CI is green.

  • LLM Gateway: a unified proxy over Gemini, Claude, Groq, and Ollama with per-team rate limiting and budgets, circuit-breaker fallback routing, and Prometheus/Grafana observability. Measured gateway overhead is P50 1.37 ms and P95 5.55 ms, with 24 tests running against real Postgres and Redis in CI.

  • Retryv: a production-oriented RAG system.

  • RankFuse: an open-source hybrid retrieval library for RAG, published on PyPI.

  • MemoryOS: a universal AI memory layer with a Chrome extension, dashboard, and backend.

  • FlowPrecheck: a static analyzer for n8n workflows that scores readiness and flags errors and missing credentials.

I'm looking for a full-time remote role as an AI Engineer, or a backend or full-stack role with a strong AI component. I like owning features end to end, from the data pipeline to the API to the UI. I'm most interested in RAG, agents, and the infrastructure that makes LLM apps reliable in production. I haven't worked in a large engineering team yet, and I'm looking for one where I can learn from senior engineers while shipping real work.

Portfolio: gauravxd.dev | GitHub: github.com/GauravFrr

Experience

Work history, roles, and key accomplishments

ME
Current

Generative AI Engineer

MemoryOS

Jan 2026 - Present (8 months)

Building a cross-session memory infrastructure layer for LLM platforms. Achieved sub-200ms semantic memory retrieval using HNSW vector indexing with gemini-embedding-2 on PostgreSQL and pgvector.

CL

Python Development Intern

Cognifyz IT Solutions Pvt. Ltd.

Jul 2026 - Aug 2026 (1 month)

Delivered 8 Python modules on schedule, including a BeautifulSoup web scraper and a Matplotlib/Plotly data visualization tool, with clean and documented code.

Education

Degrees, certifications, and relevant coursework

SR

Sh. L.N. Hindu College, Rohtak

Bachelor of Computer Applications, Computer Applications

2026 -

Pursuing a Bachelor of Computer Applications (BCA) with an expected graduation in 2029.

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