cs @ ut austin Β Β·Β swe intern @ google Β Β·Β i turn data into weird, unexpected stories
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i find pain points across businesses, research, and people's everyday lives, then pinpoint solutions with data, machine learning, and ai.
my goal as a computer scientist is to make software and hardware IMPROVE people's physical and mental health, not just make a workflow more efficient.
i'm also someone who runs on matcha, caramel frappes, sweet treats, and meeting new people. the works.
- google, swe intern
- enterprise mobility, technical pm intern: architecting an ai vehicle authorization system across 9,500+ branch locations
- afterquery (yc w25), ai data engineering intern: benchmarked generative ai tool calls across 10+ domains at 2m+ user scale
- ut austin cs dept, undergrad researcher: debugged distributed pipelines on 10m+ weather records for nasa + txson climate models
- ut austin fri, robotics researcher: built a ros2 system in c++ turning live asl gestures into physical robot motion
- diving deeper into low-level systems + distributed infra
- always hunting for weird datasets to turn into stories π
- diagnostic vlm: a 3d vision-language model for 5-year disease prediction, mapping health records to ct scans. benchmarked on 1,000+ abdominal ct scans (plus 70 adversarial edge cases).
- glassdoor alpha: a predictive model on 17k+ glassdoor reviews, turning employee sentiment into financial signals to flag early stock movements (vader pipeline + rolling averages).
- reposter: a chrome extension that reverse-engineers facebook's lexical editor to inject text where standard dom methods fail. full stack: supabase auth, postgres rls, stripe webhooks.
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- π linkedin: in/purnoor-sharma
- π email: purnoor.sharma@utexas.edu
- π github: @noorps