Builder. Author.
Reluctant futurist.
Engineer at the seam where language models meet production systems. I write code, I write books, and I run my mouth on stages — usually about why agents need ops too.
I build AI agents that ship. Not the demo-reel kind — the kind that operate inside enterprise systems with real users, real audit logs, and real stakes.
Currently GenAI Engineer at Zato, where I lead agent architecture across our document intelligence (DocIQ) and operations copilot (OMS) products. Before that, I cut my teeth on data science, computer vision on drones, and Web3 health records.
I'm also an author — From Data to World is my attempt to write a data-science book that doesn't read like a tutorial. I speak at meetups (Microsoft Reactor, ThoughtWorks, Solapur FOSS, TinyML), mentor through Microsoft's MLSA program, and run education projects at Atria Foundation.
Outside of work I read systems papers and rebuild old ideas in modern stacks — to see what changes when the building blocks get an order of magnitude better.
- Currently
- GenAI Engineer @ Zato
- Based
- Bangalore, Karnataka, India
- Studying
- B.Tech, Digital Transformation · Atria University · 8 CGPA
- Writing
- From Data to World · blogs.lakshaykumar.tech
- Speaking
- Microsoft Reactor · ThoughtWorks · Solapur FOSS · TinyML · 15+ talks
- Mentoring
- Microsoft Learn Student Ambassador · Atria Foundation
- Reach
- [email protected]
What I work with.
Agent frameworks
LangGraph for stateful multi-agent flows. Anthropic Claude SDK for production reliability. Custom orchestrators when frameworks get in the way.
Retrieval & data
Hybrid search, re-rankers, structured extraction. Postgres pgvector for low-ops, Qdrant/Pinecone when scale demands it.
Serving & infra
FastAPI + Pydantic for typed tool surfaces. Docker, GCP/Azure, Redis for state, Postgres for source-of-truth. Streaming everywhere.
Web & experience
React/Next for agent UIs — streaming chat, tool-call visualizations, audit trails. Tailwind for speed when shipping is the brief.
Classical foundations
Where I started: scikit-learn, classical ML, computer vision (OpenCV, MediaPipe), Power BI dashboards, statistics. Still pull these out when LLMs are the wrong tool.
Education & certifications.
B.Tech · Digital Transformation
Atria University, Bangalore — current cohort. 8 CGPA. Cross-disciplinary curriculum spanning ML, design, and systems thinking.
Class XII · ISC Non-Med
Jiva Public School — 91%.
Certifications
Python for Data Science · IBM. Data Analysis with Python · Cognitive Classes. Microsoft AI Classroom Series.
Want to compare notes?
Tech discussions, mentorship, or speaking — happy to chat. I reply to every thoughtful note.