Leo Woiceshyn
Machine Learning Software Engineer at Google
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolLeo Woiceshyn is a Machine Learning Software Engineer with nine years of experience applying deep learning, computer vision, NLP, and reinforcement learning to real-world products, currently building features for Google Assistant and Bard in Mountain View. He combines research-driven innovation from his graduate work in socially assistive robotics with practical engineering—moving state-of-the-art models into mobile and production-ready deployments during his time at Motorola and Google. Leo has hands-on expertise compressing and converting models for constrained devices, plus experience interviewing and mentoring engineers, reflecting both technical depth and team-facing impact. His background in mechanical engineering and early systems engineering roles gives him an uncommon systems-first perspective on ML pipelines and deployment trade-offs.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Applied Science (BASc) with Co-op Standing, Mechanical Engineering, 3.6, Bachelor of Applied Science (BASc) with Co-op Standing, Mechanical Engineering, 3.6 at The University of British ColumbiaMaster of Engineering, Mechanical and Industrial Engineering, 4.0, Master of Engineering, Mechanical and Industrial Engineering, 4.0 at University of TorontoHigh School Diploma, High School Diploma at Webber Academy
English, Finnish, Spanish
Github Skills (25)
image-matching5
cpu5
pytorch4
deep-learning3
darknet3
keras3
neuroimaging3
visual-recognition3
medical-imaging3
object-detection3
efficientnet3
resnet3
transducer3
image-classification3
training-data2
Programming languages (4)
Github contributions (5)
lwoiceshyn/Robot-Clothing-Recommender-System
Feb 2017 - Jun 2019
Contributions:31 commits, 30 pushes, 1 branch in 2 years 4 months
lwoiceshyn/leetcode
Jul 2019 - Jan 2020
Contributions:37 pushes, 1 branch in 6 months
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