Senior Artificial Intelligence And Machine Learning Engr at Lockheed Martin
New Haven, Connecticut, United States
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Summary
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Sonya Sawtelle is a Senior AI and Machine Learning Engineer with 11 years of quantitative problem-solving experience and a decade-plus track record combining rigorous academic training (Ph.D. in Applied Physics, BS in Physics) with industry-grade ML systems. At Lockheed Martin she builds computer vision for satellite remote sensing and designs AI for 5G spectrum awareness and intelligent RIC applications, while researching knowledge distillation, contrastive and self-supervised learning. Prior roles span data science consulting and product-focused ML work—Bayesian MCMC for published chemistry research, demand forecasting, lifing models, handwriting recognition, and operational dashboards. A compulsive optimizer and frugal minimalist by temperament, she favors elegant, efficient solutions and has a history of shipping practical tooling that surfaced subtle issues (e.g., data leaks) and improved decision-making. Based in New Haven, she blends deep technical rigor with clear cross-functional communication, mentoring junior researchers and delivering insights that bridge research and production.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Physics, 3.98, Bachelor of Science (BS), Physics, 3.98 at Indiana University Bloomington
Doctor of Philosophy (Ph.D.), Applied Physics, Doctor of Philosophy (Ph.D.), Applied Physics at Yale University
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Sonya Sawtelle - Senior Artificial Intelligence And Machine Learning Engr at Lockheed Martin