Arnav Palkhiwala
ML Systems · AI Research · Data Science
Originally from San Diego, I'm a third-year Data Science and Statistics student at the University of Washington (Seattle).
I've spent the past few years building ML systems, focusing on optimizing LLM inference and infrastructure in production. I'm especially drawn to early-stage startups solving real problems.
30%+
Production Throughput
Contextual AI
128k
Context Window Extension
Qualcomm
SIGIR
Published '26
UW InfoSeeking Lab
#1
Startup Competition
Dempsey @ UW
Work Experience
Venture Open-Source Research Intern
Building an automated ML scouting system analyzing 40k+ repos weekly. Developing an agentic ranking and diligence workflow that combines market indicators, technical feasibility, and developer sentiment to surface commercially viable open-source projects.
Member of Technical Staff, AI Inference Intern
Led vLLM optimizations improving production throughput by 30%+ on H100/B200 GPUs. Built load-testing and inference-benchmarking systems; metrics informed RAG pricing and helped close new customer contracts.
Machine Learning Software Engineering Intern
Extended Gemma2 context length from 2k to 128k tokens using Positional Skipwise Fine-tuning (PoSE), boosting long-input accuracy to 90%+ for on-device inference on Snapdragon chips.
Education
University of Washington
B.S. Data Science, Statistics | Minor in Business Entrepreneurship
GPA: 3.85 · Dean's List · Expected June 2027
Technical Skills
ML / AI
Stats
Web / Infra
Other
Outside of work I'm into sports, restaurants, and guitar. Always happy to connect!
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