Yitzchak Lockerman
Engineering at Bloomberg LP
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolYitzchak Lockerman is an engineering professional with 11 years of experience applying unsupervised and deep learning to sensor networks, data acquisition systems, and cloud-scale big data environments. A Ph.D. in Computer Graphics from Yale and a postdoc at NYU, he built the data collection backend for the city-scale Sounds of New York City (SONYC) sensor network and co-chairs the Brooklyn Research Cluster steering committee for a private HPC cloud. At Bloomberg since 2018, he brings research-grade expertise in material and geometry capture—having designed low-cost consumer-hardware acquisition rigs—and a track record of leading international collaborations culminating in SIGGRAPH publications. Based in New York, he blends rigorous academic methods with production engineering to turn complex sensing and ML problems into scalable, maintainable systems.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Graphics, Doctor of Philosophy (Ph.D.), Computer Graphics at Yale UniversityBachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Queens College
Github Skills (30)
docker-compose8
gtk8
qt8
expressions7
docker-image7
matplotlib7
benchmark7
golang7
python7
docker7
data-visualization6
visualization6
data-science6
theano5
go5
Programming languages (2)
Github contributions (5)
ylockerman/multi-scale-label-map-extraction
Aug 2016 - Aug 2017
Contributions:18 commits, 24 pushes, 1 branch in 1 year
abiusx/CLPatchMatch
Jun 2017 - Jun 2017
Contributions:1 comment, 2 issues in 1 day
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