Thomas Boser
Engineer at Crosswise Risk Management
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolThomas Boser is an engineer based in San Francisco with eight years of experience delivering production-grade machine learning software. He is currently building Crosswise.io and leads ML-driven risk engineering at Crosswise Risk Management. Earlier at Discord, he advanced machine learning initiatives as both a Software Engineer and Senior Software Engineer, ML. His background also includes NLP-focused data science at Sentropy Technologies and fraud modeling at SoFi, with exposure to underwriting and forecasting models. Thomas began in research roles—developing CNNs on FPGA at Berkeley Lab (demo presented at NIPS 2017) and building genomic pipelines at UCSC Genomics Institute—before earning a BS in Computer Science from UC Santa Cruz. Now based in the SF Bay Area, he combines deep research experience with hands-on engineering to ship scalable ML solutions and is actively hiring engineers for his current venture.
9 years of coding experience
7 years of employment as a software developer
University of California Santa Cruz
English, French, Spanish, swiss-german
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (60)
cuda9
gpt8
inference8
amd8
pytorch8
tpu7
python-37
llm7
llama7
python-script7
pipeline7
starlark7
mlops7
python7
transformer7
Programming languages (3)
Github contributions (5)
tboser/NIPS2017-demo
Nov 2017 - Dec 2017
Contributions:30 commits, 26 pushes, 1 branch in 18 days
tboser/tboser.github.io
Jan 2019 - Oct 2023
Build a Jekyll blog in minutes, without touching the command line.
Contributions:7 pushes in 4 years 9 months
jekyll-blogjekylljekyll-thememinutes
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