Daniel O'neil
ML Software Engineer at Genentech
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolDaniel O'neil is an ML software engineer with 11 years of experience who blends practical software engineering with deep scientific training (PhD in Physical Chemistry) to build data-driven systems in the San Francisco Bay Area. He has applied Python-based data science and database design to shrink reporting time by 95% at prior roles, and has built AI models, backtesting systems, and onsite financial data databases as a quantitative strategist. At Genentech he focuses on machine learning and informatics, bringing a hands-on learning style—he prototypes toys to master new technologies before applying them to production problems. He thrives on cross-disciplinary teams and pairs domain expertise in financial modeling and electrochemistry with production-focused engineering. An unexpected strength is turning curiosity-driven projects (like a horse genetics simulation used to learn relational design) into measurable business impact.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physical Chemistry, Doctor of Philosophy (Ph.D.), Physical Chemistry at Georgia Institute of TechnologyBachelor’s Degree, Chemistry, Bachelor’s Degree, Chemistry at Harvey Mudd College
English, SpanishProgramming languages (4)
Github contributions (5)
ChemData/health-data
May 2016 - Nov 2020
Contributions:26 PRs, 16 pushes, 31 branches in 4 years 7 months
ChemData/DF_Metal_Generation
Dec 2020 - Sep 2021
Contributions:16 commits, 2 PRs, 11 pushes in 9 months
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