David Martinez
Undergraduate Researcher
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolDavid Martinez is a technical intern and Python-focused developer with a decade of experience bridging ML research and production engineering across Waymo, Berkeley AI Research, NVIDIA, Apple, Amazon, and Microsoft. He specializes in computer vision, world models, and multimodal biology, with hands-on work in NeRFs, Gaussian splatting, and ML systems research that tie research prototypes to datacenter and GPU performance. Comfortable across Flask, Pandas, Java, and backend systems, he has rebuilt multimodal lakehouse pipelines and optimized RAG and AI datacenter workflows. A Berkeley EECS grad with graduate work at Carnegie Mellon, he pairs rigorous academic foundations with practical engineering—teaching CS189 and tutoring peers along the way. David also leads inclusive student initiatives and has a track record of shipping optimizations that improve both model fidelity and system throughput. Unexpectedly, his background blends low-level GPU/system performance tuning with high-level multimodal modeling, making him equally effective in kernels and experiments.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering and Computer Sciences, Minor in Mathematics, Bachelor of Science - BS, Electrical Engineering and Computer Sciences, Minor in Mathematics at University of California, BerkeleyJunipero Serra High School, San Mateo, California
Spanish, English
Github Skills (3)
music1
organizer1
tracks1
Programming languages (1)
Github contributions (5)
damarti/muster_widget
Sep 2018 - Nov 2020
Contributions:4 PRs, 52 pushes, 1 branch in 2 years 1 month
damarti/utilization_reporting
May 2018 - Aug 2019
Contributions:58 pushes, 1 branch in 1 year 3 months
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