Alex Popov
@alexpopov1
Principal applied researcher specializing in deep learning and computer vision for autonomous systems.
ZimbabweWhat I'm looking for
I am a principal applied researcher focused on deep learning and computer vision, primarily applied to autonomous vehicles, perception, and scene understanding. I bring years of hands-on experience developing detection, segmentation, and world-modeling systems that support real-time robotic and vehicle autonomy.
At NVIDIA I lead research and engineering for pedestrian detection, scene segmentation, obstacle perception, neural planning, and world models; previously I advanced deep vision and ML solutions at Microsoft across Surface, Wearables, and Commerce platform teams. My background combines algorithm design, system engineering, hardware/software integration, and large-scale machine learning deployment.
I am passionate about building reliable perception stacks and generative neural methods that improve safety and decision-making in autonomous systems, and I seek roles where I can drive research-to-product impact and mentor cross-functional teams.
Experience
Work history, roles, and key accomplishments
Lead research and development of deep learning solutions for Autonomous Vehicles including pedestrian detection, scene segmentation, obstacle perception, neural planning, and world models to improve perception and planning robustness.
Developed deep learning and computer vision systems for the Autonomous Vehicles group, delivering models and pipelines for perception and sensor fusion projects.
Researched and implemented deep learning and computer vision solutions for Surface Applied Sciences including object detection, person identification, and speaker identification; contributed to system engineering and HW/SW integration.
Built Android Wear experiences and applied machine learning to sensor data to enable intelligent wearable scenarios and new user interactions.
Developed big-data and machine-learning based knowledge services for the Commerce Platform to support Microsoft consumer and commercial products.
Education
Degrees, certifications, and relevant coursework
University of Minnesota-Twin Cities
Master of Science, Computer Science
2011 - 2013
Completed a Master of Science in Computer Science with coursework and research in areas relevant to machine learning and computer vision.
St. Norbert College
Bachelor of Science, Computer Science
2007 - 2011
Earned a Bachelor of Science in Computer Science with a second major or strong coursework in Philosophy.
Tech stack
Software and tools used professionally
Availability
Location
ZimbabweAuthorized to work in
United StatesJob categories
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