Founder AI Engineer Python, PyTorch, GenAI at Stealth AI Startup
Old Toronto, Ontario, Canada
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Summary
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Rockstar
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Top School
Daniel Troniak is a founder and AI engineer with 13 years of hands-on experience applying machine learning, computer vision, and robotics to real-world systems across autonomous vehicles, advanced manufacturing, and operator assistance. He holds an MSc in Computer Science from UBC and predoctoral training at Carnegie Mellon, blending strong research foundations with product-focused deployments. At Cavnue he designed and scaled vehicle detection, tracking, and trajectory-insight pipelines across a multi-mile sensor deployment, and earlier at NREC and Caterpillar he improved robotic grasp success and deployed embedded personnel tracking on smart cameras. He pairs low-level embedded and robotics expertise (C/C++, ROS, Kalman filters) with modern ML tooling (Python, PyTorch, GCP) and a knack for automating model tuning that measurably boosted tracker performance. As founder of a stealth GenAI education startup, he鈥檚 translating generative models into domain impact while retaining the discipline of rigorous testing鈥攅videnced by QA contributions to notable open-source projects like bacon.js. Practical, multidisciplinary, and results-driven, he excels at taking algorithms from prototype to robust production in noisy, resource-constrained environments.
13 years of coding experience
6 years of employment as a software developer
Bachelor of Computer Science Honours A.I. Networking Asian Studies, Bachelor of Computer Science Honours A.I. Networking Asian Studies at University of Manitoba
MSc Computer Science, MSc Computer Science at The University of British Columbia
Business and Social Skills, Business and Social Skills at Carnegie Mellon University - Tepper School of Business
Mechatronics Robotics and Automation Engineering, Mechatronics Robotics and Automation Engineering at Carnegie Mellon University
Functional reactive programming library for TypeScript and JavaScript
Role in this project:
QA Engineer / Test Automation Engineer
Contributions:44 commits, 1 PR, 6 pushes in 2 years 9 months
Contributions summary:Daniel's contributions primarily focused on testing and quality assurance within the Bacon.js project. They added tests to verify the `Bacon.fromPromise` functionality, specifically ensuring that promises are correctly aborted on unsubscribe. Furthermore, the user updated the Gruntfile and build processes, indicating involvement in build automation. The user's work ensures the reliability and correct behavior of the Bacon.js library.
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Daniel Troniak - Founder AI Engineer Python, PyTorch, GenAI at Stealth AI Startup