Summary
Moe Maysami is a Staff ML Engineer based in Boston with over 8 years in applied machine learning and 13+ years in scripting and scientific programming, currently leading ML initiatives at Shopify. He has a proven track record of driving end-to-end, complex data-driven projects across industries—from retail analytics at NielsenIQ to healthcare data science at CVS Health—combining research rigor from Stanford and UBC with product-focused delivery. A meticulous problem solver and self-starter, Moe is frequently praised for clear communication, collaborative research, and an analytical mindset that turns ambiguous problems into production-ready solutions. His multidisciplinary background and history as a CPO at a data-focused firm give him uncommon fluency across modeling, engineering, and product strategy, enabling pragmatic trade-offs between innovation and operational robustness.
9 years of coding experience
13 years of employment as a software developer
Master’s Degree, Master’s Degree at Stanford University
Master's degree, Master's degree at The University of British Columbia
Bachelor’s Degree, Bachelor’s Degree at Sharif University of Technology