ENGINEER · CHENNAI, INDIA · CURRENTLY AT ASPIRE SYSTEMS
First the APIs.
Now the agents.
GenAI engineer with a backend engineer’s instincts.
I work on the parts that make AI useful in a real workflow: getting information out of difficult documents, keeping multi-step systems on track, and checking the result before it moves on.
01 — IN THE DAY JOB
Work in production
A few systems I helped shape, from difficult inputs to workflows people can rely on.
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Reported percentages are project-specific. Accuracy values refer to evaluated samples and are not a blanket production guarantee.
02 — BUILT OUT OF CURIOSITY
Side projects & experiments
Small, self-directed builds that let me follow a question from rough idea to working system.
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03 — HOW I THINK ABOUT IT
The model is one part of the system.
My software engineering background still shapes how I approach AI work. I care about what happens around the model: where the data comes from, how the workflow handles uncertainty, and what the next system or person receives.
Recent work has included stateful LangGraph flows, hybrid retrieval, structured extraction, and deterministic validation. I like working across the boundary between AI components and the backend systems that make them usable.
Tools that show up in my work
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A habit I keep
Start with the workflow and its failure cases. Then decide where a model helps, where explicit rules are better, and how someone can review an uncertain result.
04 — THE PATH HERE
From software to GenAI
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EDUCATION
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CERTIFICATIONS
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05 — NOTES TO SELF