Hooman Shariati is a senior machine learning engineer with nine years of experience building production ML and computer vision systems, currently contributing to Adobe’s Firefly and Applied Science & ML teams. He has progressed from algorithmic trading and robotics production-line automation to leading ML initiatives as Principal Engineer at Aupera, demonstrating a rare blend of low-latency systems, vision, and generative AI expertise. Known for delivering projects on schedule and under budget, he excels at turning ill-defined problems into robust, innovative designs while organizing teams to boost productivity. A fast learner and resourceful collaborator, Hooman pairs hands-on engineering with clear communication and task orchestration across cross-functional stakeholders. Based in Vancouver, he holds an MEng in Machine Learning from UBC and maintains an active GitHub where readers can inspect his project work and applied research. An underappreciated strength is his background in industrial robotics and trading systems, which gives him a pragmatic edge on performance-critical ML deployments.
9 years of coding experience
8 years of employment as a software developer
Master of Engineering - MEng Machine Learning, Master of Engineering - MEng Machine Learning at UBC Electrical and Computer Engineering
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