Elijah Mathew
Ai Model Evaluation & Training Fellow @Handshake
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WORK HISTORY
Ai Model Evaluation & Training Fellow @Handshake
Evaluated multimodal AI outputs across reasoning and instruction-following tasks• Translated evaluation insights into product recommendations shaping model behavior standards• Developed structured scoring frameworks to surface edge cases and improve consistency
EDUCATION
UC San Diego
Bachelor of Science - BS, Mechanical Engineering
ABOUT ELIJAH MATHEW
I build decision-support systems that turn complex data into clear actions.Across manufacturing and endurance training, I have focused on the same core problem: how to collapse complexity into decisions people can act on. At HiTech Honeycomb, I led development of an automation system that reduced cycle time by 81 percent by translating operator pain points into measurable product requirements. With Sitting CC, I built an interpretable ML engine that converts wearable recovery data into explainable daily training recommendations.I am especially interested in products that operate at the intersection of data, uncertainty, and real-world constraints, where trust, clarity, and tradeoffs matter as much as technical performance.
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