MarkĀ Hildebrand
AI Research Engineer at Intel Corporation
United States
Summary
š¤
Seniorš
Top SchoolMark Hildebrand is an AI research engineer with nine years of experience building high-performance, competition-winning systems that prioritize simplicity, testability, and adaptability. He led the primary development of Intel's winning entry in the 2021 NeurIPS Billion-Scale Approximate Nearest Neighbors contest, combining NUMA-aware data structures, Optane DC support, and low-level performance tuning including AVX intrinsics and assembly inspection. His PhD work and research at UC Davis focused on heterogeneous memory management for ML, and he has a track record of creating generic, modular interfaces to enable rapid prototyping across hardware topologies. Comfortable across software and hardware boundaries, he has implemented accelerators in simulation, authored place-and-route tooling for many-core arrays, and taught digital design and computer architecture. Colleagues describe him as someone who seeks difficult problems to sharpen his craft and who consistently turns rigorous research into practical, production-ready code.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at University of California, DavisBachelor's of Science in Engineering - BSE, Electrical and Electronics Engineering, Bachelor's of Science in Engineering - BSE, Electrical and Electronics Engineering at Walla Walla University
Github Skills (59)
science10
julia10
approximate9
programming-language9
machine-learning9
hpc9
indices9
modeling8
petsc8
root-finding8
simulation8
extjs8
simulator8
numerical8
software-design7
Programming languages (5)
Github contributions (5)
hildebrandmw/JTAGManager.jl
Aug 2018 - Mar 2021
Contributions:7 commits, 4 pushes, 1 branch in 2 years 7 months
darchr/ml-tools
Oct 2018 - Aug 2019
Collection of instructions and tools for ML infrastructure
Contributions:2 PRs, 320 pushes, 4 branches in 10 months
instructionsinfrastructuremachine-learningmlopsml-infrastructure
Find and Hire Top DevelopersWeāve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.