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1# Keshav Madhav
2.
3> @keshav-madhav · AI Engineer @ [VerbaFlo](https://www.verbaflo.ai/)
4.
5## TL;DR
6.
7**I build production AI systems and the tools teams debug them with.**
8.
9- **95%+** Autonomous RCA — across 500k+ LOC
10- **12 agents** Agent orchestrator — parallel, streaming
11- **10K+** VS Code installs — Live Jinja Renderer
12- **90+** Public repos — shipped
13.
14## What I actually build
15.
16### Multi-agent orchestrators `Runtime`
17.
1812-agent parallel execution across MongoDB, Postgres, and Milvus. SSE streaming, semantic cache, query expansion. Custom runtime, not a framework wrapper.
19.
20### Retrieval and RAG `Pipelines`
21.
22Production vector stores with hybrid search, query expansion, reranking, and text-to-SQL on top.
23.
24### Internal tooling `Tooling`
25.
26A unified MCP debugger for the whole team. Hand it a ticket, it walks the codebase and traces, then RCAs the bug.
27.
28### Full-stack surfaces `Full-stack`
29.
30Electron apps, VS Code extensions, tracing UIs, dashboards. I own the runtime and the interfaces.
31.
32## Quick facts
33.
34- **Role:** AI Engineer @ [VerbaFlo](https://www.verbaflo.ai/)
35- **Location:** New Delhi / Gurgaon, IN
36- **Education:** B.Tech Computer Science, AI / ML specialization
37- **GitHub:** [98 repos](https://github.com/Kes...)
38.
39## The longer read
40.
41I'm Keshav Madhav, an AI engineer who ships full systems, not just prompts. Custom orchestrators, retrieval infra, and the tooling that makes LLM pipelines debuggable.
42.
43## Philosophy
44.
45> The best AI systems are the ones you can actually see thinking. That's why I spend as much time on tracing and debuggable UIs as I do on the pipelines.
46.
47---
48.
49## Navigate
50.
51- [](now.md) — Current work
52- [](before.md) — Previous experience
53- [](projects.md) — Side projects
54- [](stack.json) — Tech stack
55- [](contact.md) — Get in touch
56.
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