Hooman Shariati

Machine Learning Engineer 5, Generative Ai, Firefly, ASML

Vancouver, British Columbia, Canada
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Summary

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Senior
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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.
code9 years of coding experience
job8 years of employment as a software developer
bookMaster of Engineering - MEng Machine Learning, Master of Engineering - MEng Machine Learning at UBC Electrical and Computer Engineering
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Github Skills (23)

computer-vision8
face8
pose8
object-detection7
cpp6
deep-learning6
darknet6
yolov46
linux6
caffe6
neural-network5
pose-estimation5
machine-vision5
human-pose-estimation5
machine-learning5

Programming languages (3)

C++CJupyter Notebook

Github contributions (5)

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recruitpro11/rp_repo_1

Jan 2017 - May 2017

Contributions:3 PRs, 148 pushes, 2 branches in 3 months
hooman67/poseEstimation

Apr 2019 - Sep 2019

Contributions:108 pushes, 1 branch in 5 months
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