Konstantin Golobokov
Research Scientist Intern, FAIR at Meta
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolKonstantin Golobokov is an applied mathematician and ML researcher with six years of industry and academic experience building and evaluating large-scale learning systems. He has driven research and production work across Microsoft and Meta—ranging from parameter-efficient training and finetuning quality monitoring for LLMs to semantic parsing and domain-augmented chat demos that onboarded dozens of customer teams. At Bing Ads he combined large-data engineering (100+ TiB/day pipelines) with novel controlled text generation and representation learning that translated into measurable revenue impact. Currently a Research Scientist Intern at FAIR and a UW applied math graduate researcher, he blends theoretical rigor with pragmatic engineering to move models from lab to production. Colleagues can expect a researcher who not only publishes and patents but also builds the tooling and evaluation infrastructure that reduces uncertainty for product teams.
6 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Applied Mathematics, Doctor of Philosophy - PhD Applied Mathematics at University of WashingtonBachelor of Science in Engineering (B.Sc.Eng.) Computer Science Engineering, Bachelor of Science in Engineering (B.Sc.Eng.) Computer Science Engineering at University of Michigan College of Engineering
Stackoverflow
1reputation
0reached
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Github Skills (20)
hypothesis-tests6
llama6
python6
dataframe6
sql5
scale5
pandas5
data-science5
modin4
analytics4
hypothesis-testing4
deep-learning3
pytorch3
testing3
machine-learning3
Programming languages (3)
Github contributions (5)
kogolobo/kogolobo.github.io
Mar 2024 - Nov 2024
Contributions:12 pushes, 1 branch in 8 months
kogolobo/faith-and-fate
Jul 2024 - Aug 2024
Contributions:22 pushes, 2 branches in 28 days
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