Engineering Science · University of Toronto

Hi, I'm Paul

I enjoy building robots that see, think, and act.

Third-year Engineering Science student (Robotics Major, AI Minor) with hands-on experience spanning vision-based manipulation, closed-loop control, simulation, and reinforcement learning.

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About Me

About me (change heading)

I'm a third-year Engineering Science student at the University of Toronto, majoring in Robotics Engineering with a minor in Artificial Intelligence. I like taking a robot from a rough idea to a working system — designing the mechanism in CAD, modeling it in simulation, writing the control and perception stack, and getting it running on real hardware.

My work spans the full robotics stack: mechanical design in Fusion 360, embedded and low-level control, camera calibration and computer vision, simulation in Isaac Sim and MuJoCo, and reinforcement learning with PyTorch. Outside of personal projects, I work on autonomous mapping and localization for a Formula Student driverless racecar, and volunteer repairing clinical equipment at St. Michael's Hospital.

More about me, my interests, and what got me into robotics — coming soon.

LinkedIn ↗ GitHub ↗ Resume (PDF) ↓

Selected work

Projects

Personal robotics projects, each built end-to-end from mechanical design/assembly, simulation, and control.
Click a project to expand and learn more!

Where I've worked

Experience

UTFR Driverless Mapping Team Member

Sep 2025 – Present

University of Toronto Formula Racing

  • Developed autonomous mapping and localization software using FastSLAM and ROS, integrating multi-sensor telemetry to improve high-speed state estimation on an autonomous racecar.
  • Diagnosed sensor orientation errors and built visualization tooling in Foxglove Studio to debug live and recorded vehicle telemetry.
  • Collaborated with a multidisciplinary robotics team via Git/GitHub to iterate on algorithm design and system architecture.

Biomedical Volunteer

Aug 2026 – Present

St. Michael's Hospital

  • Diagnosed and repaired electro-mechanical and sensor-level faults in clinical medical devices alongside hospital clinical engineering staff.
  • Executed preventive maintenance and electrical safety validation protocols, ensuring full regulatory compliance and minimal downtime.

Predictive Modeling Team

Aug 2024

AI Camp

  • Developed supervised machine learning models on large, real-world datasets, performing feature engineering, preprocessing, and model evaluation.
  • Analyzed model performance and limitations to guide iterative improvements.

Toolbox

Skills

Robotics & Controls

ROS / ROS2SLAM (FastSLAM) PID ControlURDF & Kinematics NVIDIA Isaac SimMuJoCo Foxglove StudioEmbedded Systems FPGA / SystemVerilog

Computer Vision

OpenCVCamera Calibration Object Segmentation2D-to-3D Localization

Machine Learning & AI

PyTorchReinforcement Learning Stable Baselines3Feature Engineering Generative AI / LLMs

Programming

PythonC / C++ JavaData Structures & Algorithms Git / GitHubLinux / Bash

Systems & Hardware

Raspberry PiArduino PWM / Servos / SteppersI2C / SPI / UART

Mechanical Prototyping

Fusion 360AutoCAD MATLABFDM 3D Printing

Studying

Education

University of Toronto

Sep 2024 – Apr 2029

B.A.Sc in Engineering Science — Robotics Engineering Major, Artificial Intelligence Minor

cGPA: 3.58 · PEY Co-op

St. Michael's College School

Sep 2020 – Jun 2024

High School Diploma — Graduated with a 98.3% average

Moderated the Computer Science and VEX Robotics clubs · Outdoor camp leader and peer tutor

Contact

Looking for a co-op student for Fall/Winter 2027? I'd love to hear from you.

pauls.choi@mail.utoronto.ca +1 (647) 549-3690
LinkedIn ↗ GitHub ↗