Arnav Palkhiwala
ML Systems · AI · 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 inference systems with a focus on production performance and real-world impact. I'm especially excited about ideas and companies 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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