Trym Tengesdal is a developer and R&D engineer with nine years of experience blending robotics, control theory, and software development to solve real-world autonomous navigation problems. With a PhD in Engineering Cybernetics from NTNU and roles ranging from PhD candidate to postdoc, he built simulation environments, developed Probabilistic Scenario-based MPC, RRT planners in Rust, and VAE-based perception pipelines for ship autonomy. He has moved algorithms from simulation to hardware validation on NTNU's autonomous ferry and supervised multiple master’s students, demonstrating both hands-on implementation and mentorship. Now at AutoStore™, he brings a background in safe-motion planning, Bayesian prediction, and reinforcement-learning-ready simulation tooling to industrial R&D. An uncommon strength is his cross-language fluency—prototyping in Python while shipping performance-critical planners in Rust—bridging research prototypes and production-ready systems.
Python API for reading and manipulating polygon data of Electronic Navigational Charts (ENC)
Contributions:1 review, 1 PR, 63 pushes in 1 year 11 months
apichartspythonencpolygon-data
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