Building
the future
I design, build, and validate end-to-end hardware and software, from embedded electronics and control to fully integrated robotic systems.
EntrepreneurAutonomous SystemsEmbedded SystemsInnovation
Education
Bachelor of Applied Science in Mechatronics & Robotics Automation Engineering
Queen's University
Kingston, Ontario, Canada
2023 - 2027
Machine Learning with Python
IBM Course
2024
Applied best practices in NumPy, scikit-learn, and TensorFlow to solve complex problems in classification, clustering, and deep learning.
Experience
Work Experience
Mechatronics Design Intern
FYELabs
Hamilton, Ontario, Canada
May 2025 - August 2025
- •Led a team of 5 to automate a food dispenser, defining client requirements and aligning with firmware, PCB, and mechanical teams.
- •Designed and implemented embedded control logic in C/C++ for a system integrating 8+ motors, and 10+ sensors, reducing operation time by 60%
- •Spearheaded the automation of a contact lens manufacturing process for an innovative glaucoma treatment,designing the full control sequence and achieving 97% dispensing accuracy.
Mechatronics Design Intern
FYELabs
Hamilton, Ontario, Canada
May 2024 - August 2024
- •Integrated a GPS module, accelerometer, and gyroscope with a Raspberry Pi Pico and Raspberry Pi 4, transmitting data over serial to enable real-time speed and position tracking with 95% accuracy.
- •Designed an airtight battery enclosure in SolidWorks, ensuring zero air ingress/egress and protecting next-generation battery materials from environmental exposure.
- •Assisted in the circuit design of an industrial automated machine for synthesizing a new plastic material, andvalidated the PCB using an oscilloscope and a logic analyzer to ensure precise and reliable operation.
- •Participated in agile development processes
Extracurricular Experience
Director of Autonomy
Queen's SAE Autodrive
Kingston, Ontario, Canada
June 2025 - Present
- •Leading 25+ students across 5 subteams in state estimation, path planning, and control development within the Autonomy division, to advance a Level-4 autonomous vehicle.
- •Manage project execution with Jira and Git, delivering milestones on schedule.
- •Implement algorithms in C++ and Python such as D* Lite, Kalman/Particle filters, and Model PredictiveController (MPC) improving system accuracy and performance.
Electronics Member
Queen's Aerospace Design Team
Kingston, Ontario, Canada
October 2024 - May 2025
- •Optimized AUAV flight dynamics through control loop tuning and engineered custom electrical systems, ranging from hardware selection to PCB design in Altium.
Autonomy Member
Queen's SAE Autodrive
Kingston, Ontario, Canada
October 2024 - May 2025
- •1st place in Technical & Safety Reports
- •2nd place in Mobility Innovation (0-0-0 Challenge)
- •Utilize LiDAR, cameras, and V2X systems to fuse sensor data for real-time object detection and tracking, ensuring accurate perception for autonomous driving.
- •Apply probabilistic algorithms to track multiple objects and synchronize sensor inputs, improving detection reliability and decision-making.
Projects
Autonomous Delivery Robot
Engineered a ROS2-based autonomous robot for hospital logistics, achieving 93% navigation accuracy via custom SLAM and D* Lite path planning.
PythonC++ROS2LinuxGit
Skills
Languages
PythonC/C++SQLHTML/CSSMATLABVHDLVerilogNIOS II AssemblyARM64 AssemblyJavaScriptTypeScriptKotlin
Software Tools
ReactNext.jsTailwind CSSNode.jsFastAPIDockerAWSSolidWorksAltium DesignerFusion 360LTSpiceSimuLinkFigmaMongoDBPostgreSQLRoom
Libraries
Framer MotionpandasNumPyMatplotlibOpenCVscikit-learnPyTorchTensorFlowTensorFlow Lite
Productivity Tools
WordExcelPowerPointJiraGit