Oscar De Lima

Senior Software Engineer at Aurora

Richland Township, Pennsylvania, United States
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Summary

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Senior
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Oscar De Lima is a senior software engineer with seven years of experience specializing in computer vision and robotics, currently advancing perception systems at Aurora. He has a strong research foundation from the University of Michigan, where he built GAN-based camouflage methods and trained simulated robotic grasping agents, and applied that expertise to object-avoidance work at Neato Robotics. Oscar blends research rigor with production engineering—shipping CV solutions across embedded and cloud-connected products—and has experience with PyTorch, simulation, and industrial vision systems. Outside of work he is passionate about piano and has built an augmented reality learning app for Oculus Quest 2 that visualizes notes as flying cuboids to accelerate practice. Based in Richland Township, PA, he pairs hands-on coding with teaching experience from university courses, making him as comfortable mentoring others as delivering complex perception features. His profile reflects a rare combination of robotics systems know-how and a creative consumer-facing AR project that bridges music and vision.
code7 years of coding experience
job3 years of employment as a software developer
bookMaster's degree, Mechatronics, Robotics, and Automation Engineering, Master's degree, Mechatronics, Robotics, and Automation Engineering at University of Michigan
bookBachelor’s Degree, Electrical and Electronics Engineering, Bachelor’s Degree, Electrical and Electronics Engineering at Penn State University
languagesSpanish, English
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Github Skills (9)

multi-agent-reinforcement-learning8
machine-learning5
typescript5
javascript5
webgl5
deep-learning4
neural-network4
mlmodel3
gpu-acceleration2

Programming languages (4)

TypeScriptJupyter NotebookMATLABPython

Github contributions (5)

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ethanabrooks/hsr-env

Jun 2019 - Mar 2020

Contributions:74 commits, 50 pushes, 3 branches in 8 months
Effcient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning
Contributions:13 commits, 1 PR, 9 pushes in 25 days
multi-agent-reinforcement-learning
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