Summary
Martin Han is a Senior Software Engineer based in Los Angeles with seven years of focused experience in ML and NLP and a broader two-decade engineering background. He has led production ML efforts across high-impact products at Meta, JD Silicon Valley R&D, and Uber—building CTR and recommendation systems, multimodal models, real-time CV pipelines, and NLG for automated ad content. His work bridges research and production: translating genomic- and research-driven modeling at the National Cancer Institute into scalable services for advertising and platform products. Known for optimizing latency- and revenue-sensitive systems, he brings both hands-on modeling and architecture-level design as a principal architect and senior engineer. Comfortable across the stack, he combines deep statistical modeling with deployment pragmatism and a knack for applying multimodal approaches where others see siloed data.
8 years of coding experience
19 years of employment as a software developer
Master's degree, Computer Engineering, Master's degree, Computer Engineering at Università di Catania