Lawrence Neal
Perception Engineer at Overland AI
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolLawrence Neal is a perception engineer with 13 years of experience building production-grade computer vision, deep learning, and video infrastructure for robotics and immersive media. He’s blended research (open set learning, counterfactual reasoning, GANs) with product engineering—helping design scalable CV services at Google Nest, founding a health-tech startup, and advancing volumetric video pipelines at Lifecast. Now focused on off-road autonomy at Overland AI, he brings practical expertise in Python/C++, CUDA, ROS, and end-to-end ML systems from edge devices to cloud. Lawrence also consults on secure, self-hosted generative AI and has taught university-level ML and CV courses, reflecting a rare mix of academic depth and hands-on shipping experience. An owner of both low-level video/streaming work and high-level perception models, he excels at turning research ideas into robust, deployable systems.
13 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Computer Science (Machine Learning), Master of Science - MS, Computer Science (Machine Learning) at Oregon State University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (102)
rtsp10
high-resolution10
python10
hevc10
streaming10
text-to-image10
matroska10
audio10
transcoding10
ai10
image-resolution10
artificial-intelligence10
h26510
ffmpeg10
image-synthesis10
Programming languages (5)
Github contributions (5)
lwneal/pintglass
Nov 2013 - Jul 2015
Contributions:24 commits, 2 pushes in 1 year 7 months
lwneal/implicit3d
Oct 2018 - Aug 2019
Contributions:15 commits, 8 pushes, 1 branch in 10 months
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