Summary
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.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computational Data Science, Master of Science - MS Computational Data Science at Temple University
Bachelor of Science (B.S.) Computer Science and Applied Mathematics, Bachelor of Science (B.S.) Computer Science and Applied Mathematics at Elon University