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Jonathan Harris
Senior AI/ML Scientist and Software Engineer specializing in healthcare NLP and time-series modeling
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About
Doctoral researcher who built an end-to-end deep learning thesis project translating nutritional time-series logs into natural-language behavioral health summaries for users such as Type 2 diabetics. Particularly interesting for AI/ML roles that value research rigor, ambiguity tolerance, and thoughtful evaluation, even though their experience is primarily academic and side-project based rather than production industry systems.
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Key Strengths
- owned doctoral AI project end-to-end
- applied deep learning to personal health and nutrition data
- compared multiple sequence architectures and selected based on pattern coverage, speed, and accuracy
- worked effectively with ambiguous problem definitions
- validated generated summaries through user surveys
- handled noisy and short time-series data edge cases
- careful human-in-the-loop use of AI coding tools with manual code review and QA
- strong research-driven approach using literature reviews to guide modeling and evaluation
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Experience
Education
Awards
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Publications
4 publications
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