AWS AUTA Hackathon Winner · GSoC 2026 · Graduate Researcher, UMD

Shipping ML infrastructure from notebook to Redshift scale.

AI/ML Software Engineer II with 5+ years across healthcare, automotive and fintech. Recently: vector search prototypes on Redshift, LLM platforms on 2.3M+ patient profiles, and HPC I/O research at UMD with Alan Sussman.

5+
Years in AI/ML
120 PB
Data engineered
2.3M+
Patient profiles
Jay Guwalani - professional headshot
AWS · Software Engineer (ML) Intern · Summer 2026

Shipped ML infrastructure on AWS Redshift for AI and LLM-based use cases.

Completed internship with the Redshift ML team designing reliable, scalable systems for production AI. Won the Amazon AUTA AI Hackathon, org-wide top winner. Key learning: at scale, the hard part isn't the model - it's everything around it.

Recent highlights

Selected case studies

Production systems built end-to-end, from data pipelines to deployed APIs and dashboards.

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