Kin Lore is a Data Science Manager and technical lead with over a decade of hands-on experience translating AI research into deployed systems across defense, aerospace, and industrial domains. He has led federally funded R&D as a principal investigator at Raytheon/RTX—covering pattern-of-life analytics, counter-UAS, and neuromorphic vision—while building production ML pipelines for visual inspection and condition-based maintenance at Pratt & Whitney and OTIS. Kin combines deep academic roots (multiple peer-reviewed publications and ML research from Iowa State) with pragmatic engineering, scaling models internationally and shepherding IP through invention disclosures and patents. Now at Deloitte, he brings cross-domain systems thinking, MLOps rigor, and a track record of partnering with government, industry, and academic teams to turn novel algorithms into operational capabilities. He’s equally comfortable designing interpretable predictive models as he is leading multidisciplinary teams to solve high-consequence problems.
10 years of coding experience
11 years of employment as a software developer
Masters of Science (M.S.), Mechanical Engineering, 3.84/4.00, Research Excellence Award, Masters of Science (M.S.), Mechanical Engineering, 3.84/4.00, Research Excellence Award at Iowa State University
American Degree Transfer Program, 4.00/4.00, ADP Top Natural Science Student Award, American Degree Transfer Program, 4.00/4.00, ADP Top Natural Science Student Award at Taylor's College
Official implementation for color version of: LLNet: A deep autoencoder approach to natural low-light image enhancement by Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar
Contributions:28 commits, 1 PR, 25 pushes in 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.