I enjoy understanding how an organization works before deciding what to build: discovering constraints, comparing solutions, designing, evaluating, and iterating.
Working with conversational and agentic AI workflows, tracing, evaluation, and reliability in a regulated environment. My interest is in how domain constraints shape system design.
Contributed to enterprise assistants, retrieval-augmented generation, agent orchestration, and workflow automation. The central lesson: domain knowledge and careful evaluation matter as much as model choice.
Worked on translating complex enterprise data and process requirements into AI-assisted tools, including mapping and knowledge retrieval workflows.
Graduated with a CGPA of 9.09/10. Explored machine learning through research, engineering projects, and hackathons.
Selected team projects and recognitions, with photographs from the events.
CitiWise: an AI-powered financial wellness platform combining retrieval-based assistance, spending insights and predictive modelling.
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Recognized at the KIIF Innovation, Design & Entrepreneurship Bootcamp, focused on problem discovery, design thinking and venture development.
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LadleVision: a computer-vision-led approach to tracking industrial ladles and supporting operational decisions in a steel-plant context.
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National-level Smart India Hackathon winner. A formative experience in collaborative, time-constrained problem solving.
Siemens GDN Rajeev Kumar Memorial Award — FY24 recognition for contributions during the internship.
Electhon — Top 10 — Placed among the top ten teams.