Summary
Jeff Henrikson is a visiting scientist and principal engineer with a mathematical foundation from MIT and over two decades of professional software craftsmanship focused on AI, machine learning, and scalable data pipelines. He helps teams turn prototypes into production by driving POCs, roadmaps, latency reduction, and pipeline scalability while keeping security, automation, and UX top of mind. His work ranges from reducing data staleness by orders of magnitude with change data capture and Flink to building recommender systems, crypto trading bots, and clinical drug-repurposing research. Comfortable across C/C++, Python, Java/Scala, cloud and container ecosystems, he pairs deep modeling knowledge (active learning, boosting, rare-event modeling) with pragmatic engineering. He mentors engineers to elevate prototypes into finished products and has a habit of solving hardware-software problems end-to-end, from soldering embedded devices in rural Kenya to producing digital twins for autonomous platforms. Based in the Greater Seattle Area, he welcomes technical conversations and practical collaborations that bridge research and production.
9 years of coding experience
13 years of employment as a software developer
BS, Mathematics, BS, Mathematics at Massachusetts Institute of Technology
BM, Jazz Composition, BM, Jazz Composition at Berklee College of Music