Jack Amend

Machine Learning Engineer at Humana

Philadelphia, Pennsylvania, United States
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Summary

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Senior
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Top School
Jack Amend is a Machine Learning Engineer with eight years of hands-on experience and an MS in Computational Data Science, specializing in NLP, computer vision, and generative models. He has translated research into production impact—at Penn Mutual and now Humana—using LLMs and cloud services to streamline underwriting workflows, cut processing time by over a third, and handle thousands of additional applications annually. His academic work on bias-aware image captioning and multimodal retrieval was published and presented at IEEE BigData, and he’s skilled at mentoring researchers and interviewing engineering candidates. Comfortable across Python, R, Java, PyTorch/TensorFlow, and AWS/GCP, Jack blends rigorous experimentation (including user studies on perceived bias) with pragmatic engineering to deploy reliable ML solutions.
code8 years of coding experience
job4 years of employment as a software developer
bookMaster of Science - MS Computational Data Science, Master of Science - MS Computational Data Science at Temple University
bookBachelor of Science (B.S.) Computer Science and Applied Mathematics, Bachelor of Science (B.S.) Computer Science and Applied Mathematics at Elon University

Github contributions (5)

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jackjamend/pi-lidar-opflow

Jul 2018 - Jul 2018

Contributions:72 commits, 58 pushes, 1 branch in 10 days
jackjamend/FairnessResearch

Mar 2020 - May 2020

Contributions:15 pushes, 1 branch in 2 months
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Jack Amend - Machine Learning Engineer at Humana