Jordan Ott
Staff Engineer at Dandy
United States
Summary
👤
Senior🎓
Top SchoolJordan Ott is a Staff Engineer with a PhD in Computer Science from UC Irvine and a decade of experience building computer vision, robotics, and recommendation systems for production robotics and startup environments. He has led research-to-product work at Path Robotics—advancing multi-modal transformers for high-precision assembly, generalized bin-picking, and force-control algorithms—and now drives vision systems at Dandy. His background spans deep learning for 2D/3D sensor fusion, stereo reconstruction, and practical robotic control libraries, plus applied attention models for recommendation and forecasting. Author of a policy-oriented book on innovation, he blends rigorous academic training with hands-on engineering that repeatedly converts human demonstrations and sensor data into repeatable robotic performance. Notably, he has moved beyond prototyping to architecting reusable infrastructure that shortens cycle times and adapts across diverse part geometries and grippers.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computational Data Science, Master of Science - MS, Computational Data Science at Chapman UniversityUniversity of California, Irvine
Github Skills (56)
pytorch10
visualization10
open3d10
python10
data-science10
rendering10
volume-rendering10
machine-learning10
odometry10
deep-learning10
tensorflow10
computer-graphics10
cuda10
two-way10
cpp10
Programming languages (6)
Github contributions (5)
scientific-computing/FKB
Mar 2020 - Apr 2021
A two-way deep learning bridge between Keras and Fortran
Contributions:14 commits, 2 PRs, 13 pushes in 1 year 1 month
deep-learningbridgetwo-wayfortrantensorflow
jordanott/neural-fortran
May 2019 - Mar 2020
A parallel neural net microframework
Contributions:40 commits, 31 pushes, 2 branches in 10 months
neural-networkmicroframeworkparallel
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