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Machine Learning @ Yahoo
Senior Machine Learning Engineer building and operating production systems that power personalized experiences. My past work has focused on end-to-end ML ownership, including feature engineering, model training, real-time inference, and monitoring. I’ve led the development of personalization and ranking systems that operate at scale and support high-traffic, revenue-critical product surfaces. I enjoy working on problems where machine learning systems are deeply integrated into products, decisions happen in real time, and impact is measurable. I’m especially interested in building reliable ML systems, partnering closely with product and data teams, and helping teams grow through mentorship and strong engineering practices.
University of Massachusetts Amherst
Master's degree, Data Science
N/A – Present
University of Massachusetts Amherst
Bachelor’s Degree, Computer Science
N/A – Present
University of Massachusetts Amherst
Bachelor's degree, Mathematics
N/A – Present
Yahoo
Machine Learning Engineer II
May 1, 2026 – Present
Boston, Massachusetts, United States · Remote
DraftKings Inc.
Senior Machine Learning Engineer
July 1, 2024 – March 1, 2026
Boston, Massachusetts, United States
Nike
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Air Force Research Laboratory
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June 1, 2018 – August 1, 2018
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June 1, 2017 – August 1, 2017
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MassMutual
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Cultural Fit Analysis
The candidate has a diverse background working across different industries (tech, sports betting, retail, government research, healthcare, finance) and company sizes, indicating adaptability. Their experience in building personalized experiences and optimizing systems aligns well with product-focused ML roles. The consistent progression in ML/Data Science roles and leadership responsibilities suggest a proactive and growth-oriented mindset. The multiple degrees from the same institution might indicate a preference for stability or a strong academic foundation.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in project development and mentoring, suggesting strong collaboration and communication skills. Experience with stakeholder engagement at Nike and DraftKings indicates an ability to translate technical insights into business value. The descriptions of building and maintaining production systems imply a strong operational mindset and attention to system health and data quality.