Computer Scientist at Toyota Material Handling North America
Columbus, Indiana, United States
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
Mona Jalal is a Senior Computer Vision Research Engineer with 11+ years of experience building 3D perception and scalable AI systems for industrial automation. At Toyota Material Handling North America she leads applied research in 3D scene reconstruction, 6D pose estimation, synthetic data generation with Omniverse/Isaac Sim, and edge deployment using TensorRT and Azure MLOps. Her background spans industry research roles at NVIDIA and Twitter and PhD-level work in 3D vision at Boston University, with IEEE/ACM publications and patents that bridge academic rigor and production impact. She is recognized under the O-1A visa for extraordinary ability in computer vision and serves as an area chair and workshop organizer for top venues like CVPR and NeurIPS. Known for combining computer graphics, vision-language methods, and pragmatic MLOps, she focuses on delivering robust perception that works reliably in complex, real-world material handling environments. Based in Columbus, Indiana, she brings a rare mix of deep research, technical leadership, and hands-on deployment experience across embedded and cloud platforms.
A list of resources such as scholarships, fellowships, and mailing list for helping CS students succeed in their career
Contributions:20 commits, 2 PRs, 19 pushes in 5 months
scholarshipsmailing-listmailingfellowships
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.