Toni Rosiñol
Co-Founder & CEO at StackAI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolTony Rosinol is a PhD-trained robotics and AI founder currently leading Stack AI (YC W23) as Co-Founder & CEO, combining 11 years of hands-on research and product experience in perception, SLAM, and 3D reconstruction. He built deep technical credibility at MIT (PhD ’22) and in industry roles including NASA JPL perception lead, contributing to foundational open-source robotics projects such as GTSAM and Kimera where he improved geometry, Jacobians, and semantic TSDF pipelines. Tony straddles research and engineering—shipping reproducible NeRF-SLAM data tooling and performance analyses while also steering startup strategy from San Francisco. His background spans elite robotics programs (ETH, EPFL, NTU) and early-stage founding, and he now extends his ecosystem impact as an angel investor in multiple startups. Notably, his contributions reveal a habit of improving code robustness and maintainability—refactors, test fixes, and clearer exception handling—hinting at a leader who values long-term engineering craft as much as product velocity.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science & Artificial Intelligence., Doctor of Philosophy - PhD Computer Science & Artificial Intelligence. at Massachusetts Institute of TechnologyBachelor of Science Mechanical Engineering, Bachelor of Science Mechanical Engineering at EPFLMaster of Science Robotics Systems and Control, Master of Science Robotics Systems and Control at ETH ZürichVisiting Student Aerospace Aeronautical and Astronautical Engineering, Visiting Student Aerospace Aeronautical and Astronautical Engineering at Nanyang Technological University Singapore
English, Spanish, French, Catalan
Stackoverflow
1reputation
0reached
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Github Skills (24)
robotics10
c-language10
geometry10
python10
semantic-segmentation10
3d-mapping10
n10
feature-detection10
f10
cprogramming-language10
slam10
ros10
linear-algebra10
machine-learning9
3d-reconstruction9
Programming languages (12)
Github contributions (5)
MIT-SPARK/Kimera-VIO-ROS
Nov 2018 - Jul 2021
ROS wrapper for Kimera-VIO
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 2 reviews, 423 commits in 2 years 8 months
Contributions summary:Toni's commits primarily focus on fixing formatting, indentation, and other code style issues, suggesting a focus on code maintainability and readability. The commits demonstrate interaction with the project's core logic, especially within `RosDataSource.cpp` and `RosbagDataSource.cpp`. The edits are focused on improving the structure and readability of existing code.
cpureconstructionimucatkinrosbag
MIT-SPARK/Kimera-VIO
Dec 2017 - Jun 2021
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
Role in this project:Back-end Developer
Back-end DeveloperContributions:2 releases, 3 reviews, 2681 commits in 3 years 7 months
Contributions summary:Toni's contributions primarily focus on the visual-inertial odometry (VIO) system, specifically related to the feature tracking component. The commits show the user working on tasks such as fixing tests, and refactoring the frontend, potentially enhancing or optimizing the performance of the feature tracker. The code changes involve modification of the feature detection algorithm.
mesh-generationodometrysimulationinertial-odometryreal-time
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