Sebastian Zanlongo
Project Manager And Research Scientist at The Johns Hopkins University Applied Physics Laboratory
Columbia, Maryland, United States
Summary
👤
Senior🎓
Top SchoolSebastian Zanlongo is a project manager and research scientist with 11 years of experience bridging academic research and applied engineering in autonomy, robotics, and high-end computing. At Johns Hopkins APL he leads requirements engineering and performance analysis for UAV collision‑avoidance and manages airspace modeling and assured autonomy testbeds that stress sensor, control, and cyber‑resilience interactions. His earlier work spans robotic inspection for radioactive environments, multi-robot path planning, adaptive radiation mapping, and anomaly detection—often turning simulation prototypes into fielded experiments. Trained to PhD level in computer science, he combines formal methods (Petri nets, temporal logic) with practical system-building and clear technical communication for diverse stakeholders. An active developer, he has contributed visualization tooling for n‑dimensional motion‑planning algorithms, reflecting a focus on making complex algorithms accessible and testable. Multilingual and detail-oriented, he thrives on projects that require both rigorous analysis and hands‑on implementation.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Florida International University
English, Spanish
Github Skills (4)
plotly10
algorithms10
python10
geometry9
Programming languages (10)
Github contributions (5)
motion-planning/rrt-algorithms
Jun 2017 - Apr 2020
n-dimensional RRT, RRT* (RRT-Star)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 74 commits, 7 PRs in 2 years 10 months
Contributions summary:Sebastian implemented plotting functionality for the RRT algorithms, creating visualizations of the generated trees, paths, and obstacles. Their contributions included the development of a `Plot` class, which utilizes the `plotly` library to render 2D and 3D representations of the motion planning algorithms. They also added example usage of their plotting tools and integrated licensing information, demonstrating a focus on practical application and code organization.
rrtgamen-dimensionaldimensionalrrt-star
motion-planning/n-dimensional-a-star-search
Sep 2016 - Mar 2018
Contributions:4 commits, 2 pushes, 1 branch in 1 year 6 months
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.