Edward Fine
Fractional VP Of Technology And Data Science
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolEdward Fine is a Fractional VP of Technology and Data Science with 15 years of experience helping organizations turn AI and data into production-ready business value from San Francisco. He designs pragmatic ML, NLP, recommender and data infrastructure solutions that prioritize scale, interpretability and measurable outcomes rather than novelty. Edward also teaches and directs data science programs at UC Berkeley and industry MOOCs, earning consistently high NPS scores and translating complex technical topics for executives and broad audiences. His background spans quant finance, large-scale search at Microsoft, and product-focused roles at BlackRock and startups, giving him fluency across modeling, experimentation and data engineering. Equally at home prototyping research-grade models or writing production specifications, he’s known for balancing mathematical rigor with practical deployment and a penchant for creative hardware+software projects (including a cloud-connected custom longboard featured in Thrasher).
15 years of coding experience
11 years of employment as a software developer
San Francisco University High SchoolBA Physics Math, BA Physics Math at Wesleyan UniversityCFA Charterholder Investment Management, CFA Charterholder Investment Management at CFA InstituteCalifornia Institute of TechnologyGraduate studies Applied Mathematics, Graduate studies Applied Mathematics at University of Maryland
French
Github Skills (38)
dotnet9
nodejs9
azure8
live-streaming8
python8
reactor8
devops8
data-science7
low-code7
ai7
on-demand7
iot7
react7
no-code6
microsoft6
Programming languages (6)
Github contributions (5)
edfine/Fine-finds
Feb 2019 - Oct 2019
Papers that I like. I won't lose them here.
Contributions:2 commits, 1 push, 1 branch in 8 months
machine-learning
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