Yassine ACHOUR

AI & Computer Vision Researcher | Embedded Systems Engineer for Autonomous Vehicles

Email LinkedIn Saint-Henri, Montreal, QC

About

I am a Researcher and Engineer specializing in AI, Computer Vision, and Robotics for autonomous systems. Currently pursuing a PhD at Polytechnique Montréal, my work focuses on trajectory prediction using advanced transformer architectures and probabilistic models. I am passionate about bridging the gap between cutting-edge research and industrial applications, with a track record of winning innovation awards and managing complex technical projects from concept to prototype.

Professional Experience

PhD Candidate in Trajectory Prediction for Road Users Jan. 2024 — Present
Polytechnique Montréal, LITIV — Montreal, Canada

My research focuses on developing advanced trajectory prediction models to optimize modern road transport systems. Rather than solely focusing on autonomous vehicles, my goal is to deeply understand and model human behavior across all road users.

  • Build predictive AI frameworks that allow transportation infrastructure to dynamically adapt to human behavior, ensuring truly human-centric mobility solutions.
  • Conduct in-depth research leveraging Transformers, VLMs, LLMs, and Graph Transformers to boost accuracy and robustness.
Instructor & Grader – Intro to Programming (INF1007) Sept. 2025 — Present
Polytechnique Montréal — Montreal, Canada

Serving as a technical mentor and tutorial instructor for first-year engineering students, ensuring a strong foundation in software architecture and robust programming logic.

  • Course Delivery: Teach theoretical computer science concepts and applied Python programming.
  • Evaluation: Manage the technical grading process for exams and assignments, providing rigorous, constructive feedback.
Instructor & Grader – Multimedia Technologies (INF8770) Sept. 2024 — Present
Polytechnique Montréal — Montreal, Canada

Served as an Instructor and Grader for the advanced "Multimedia Technologies" course, delivering lectures, lab work, and evaluating student exams and laboratory projects.

  • Coding & Compression: Taught entropy and dictionary-based coding, lossy/lossless compression, and multimedia container synchronization.
  • Indexing: Covered shot boundary detection, keyframe selection, content-based retrieval, and gesture recognition.
Robotics and AI Development Engineer Sept. 2022 — Sept. 2023
Capgemini Engineering (Project: Airbus A320) — Toulouse, France

Led the development of AI modules for quadruped robots focused on sensing and autonomous navigation for industrial inspection and maintenance in an Agile/SCRUM environment.

  • Developed pose detection and estimation modules for quadruped robots, increasing stability in dynamic industrial environments.
  • Designed autonomous navigation systems via SLAM, ensuring smooth mobility in real-time contexts.
  • Optimized YOLOv5/v6 models for embedded object detection.
Project Manager - 3D Bionic Arm Prosthesis Nov. 2022 — Feb. 2023
ESIGELEC, University of Rouen — Rouen, France

Led the end-to-end development of an innovative bionic prosthesis, winning the 2023 Public Award for Innovation.

  • Managed project lifecycle from neural network classification of EMG signals to procurement and 3D printing.
  • Coordinated a multidisciplinary team and handled budget allocation for prototyping.
  • Integrated real-time communication systems with Arduino Uno.
Mechanical Ventilation Engineer March 2022 — Sept. 2022
Hamilton Medical — Bonaduz, Switzerland

Specialized in fluidic/pneumatic regulation (airflow) and real-time integration of pressure and flow sensors for high-precision medical ventilators.

  • Developed MATLAB user interfaces to effectively regulate airflow and improve clinical accuracy.
  • Programmed and calibrated real-time sensors on Arduino DUE platforms.

Education

PhD in Computer Engineering Jan. 2024 — Present
Polytechnique Montréal, LITIV — Montreal, Canada
Mila Ventures Startup Challenge Fellow Feb. 2026
Mila - Quebec AI Institute — Montreal, Canada

Selected for a specialized entrepreneurship program bridging AI research with enterprise applications through rigorous customer discovery.

  • Conduct customer discovery interviews to identify barriers to enterprise LLM adoption.
  • Design and validate a context-aware AI validation layer.
Representation Learning Jan. 2024 — Apr. 2024
Mila - Quebec AI Institute — Montreal, Canada
Master in Embedded Systems: Autonomous Vehicle Sept. 2020 — Sept. 2023
ESIGELEC, University of Rouen — Rouen, France
Preparatory Classes (PCSI/PSI*) Sept. 2018 — June 2020
University of Strasbourg — Strasbourg, France

Skills & Tools

Project Management: Agile/SCRUM, Sprints, PMP (in progress), Jira, Trello, MS Project, Risk Management.
AI & Machine Learning: Neural Networks, Supervised/Unsupervised Learning, Transformers, LLMs.
Computer Vision: OpenCV, YOLO, Image Processing, Pose Estimation.
Robotics & Embedded: ROS, SLAM, Embedded Linux, Docker, Arduino, Control Systems.
Software: Python, C/C++, Java, MATLAB, Git, Power BI.

Certifications