Software Developer

Embedded & Robotics Programming Toronto, Ontario, Canada

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Summary

Engineer | Researcher | Innovator in Autonomous Systems, Perception Software & Robotics

With a strong foundation in systems and control engineering, I specialize in autonomous vehicles, robotics, perception software, and non-linear system identification. My expertise spans robotics, controls and sensor fusion, enabling me to solve complex challenges in self-driving technology and advanced driver-assistance systems (ADAS).

Current Role: At LeddarTech, I work on object detection, tracking, and sensor fusion for ADAS, ensuring robust algorithm verification and performance enhancement. My contributions include designing IoU-based matching algorithms, multi-object tracking metrics, and collision-relevant object analysis to improve safety-critical decision-making.

Academic Research: During my Master's at McGill University, I focused on non-linear system identification and noise filtering, developing kernel-based adaptive control techniques for dynamic systems.

Technical Expertise:
Programming Languages: Python, C++, C, MATLAB with Simulink
Machine Learning & Robotics: NumPy, Scikit-learn, Pandas, OpenCV, PyTorch, TensorFlow, Keras, ROS, ROS2
Perception & Computer Vision: Object Detection, Tracking, Image Processing, OpenCV
Control & Optimization: MPC, LQR, Non-linear Adaptive Control, Particle Swarm Optimization (PSO)

I thrive at the intersection of engineering, data, and automation, pushing the boundaries of perception and decision-making systems in autonomous platforms.

Expectations

In my next role, Im looking for the opportunity to contribute to impactful projects. I want to be part of a team that values technical depth and encourages ownership, where I can continue improving my Python development and algorithmic thinking. Ideally, Id like an environment that supports collaboration and provides the freedom to explore new approaches, while also learning from experienced teammates.