Gibran Ahmed Rajput

I earned my Bachelor of Engineering in Mechanical Engineering with a specialization in Mechatronics from Toronto Metropolitan University (formerly Ryerson) in 2023. I have also gotten my Masters of Engineering from UofT in Mechanical Engineering. I gained industry experience at Lincoln Electric Automation, where I designed custom automated welding manipulators for diverse applications. Currently, I’m working as an Electromechanical Engineer at Visual Defence. My interests span robotics, automation, and 3D design.

Email  /  Github  /  LinkedIn  /  CV (PDF)

profile photo

Projects

Course and Projects ranging from autonomous aerial systems, reinforcement‑learning applications, to automated machines.

Gas Exploration into the Use of Gas Power for Lifting Operations
Gibran Ahmed Rajput, Karim Akl, Michael Hyunh, Souren Pashangpour
Toronto Metropolitan University — Supervisor: Shudong Yu, 2023
Conference paper (PDF) / Project report (PDF)

Developed a scaled gas‑powered VTOL platform intended for personnel lift in demanding, high‑altitude scenarios—mountainous terrain, tall‑structure rescue, and emergency response—where internal‑combustion energy density offers clear advantages over batteries. The system uses a two‑stroke nitro engine feeding a four‑propeller layout through a custom bevel‑gear powertrain on a steel‑reinforced 3D‑printed chassis. Structural sizing followed von Mises and Goodman fatigue criteria. Bench testing of thrust, fuel efficiency, and FEA‑validated stresses mapped the design limits and revealed the OEM clutch and drivetrain losses as the dominant bottlenecks. The project has since transitioned into a startup supported by both the university and industry partners under Dr. Shudong Yu.

Crazyflie drone racing Autonomous Drone Racing with the Crazyflie (AER1217)
Gibran Ahmed Rajput et al.
AER1217 — Development of Autonomous UAS, UTIAS, 2025
Final report (PDF)

Developed a full planning–control stack for an autonomous Crazyflie navigating a gate‑based racing course, integrating onboard state estimation with an actuation‑aware trajectory planner to achieve reliable gate fly‑throughs in flight tests.

RL Project Reinforcement Learning in OpenAI Gym
Gibran Ahmed Rajput et al.
MIE1630 — Reinforcement Learning, 2023
Code

An evaluation of policy‑gradient and value‑based RL algorithms on classic Gym control benchmarks, examining reward shaping, exploration strategies, and sample efficiency. Includes full training code and pretrained agents released on GitHub.

Experience
Mechanical Design Engineering, Lincoln Electric Automation 2023 - 2024
-Led mechanical design and assembly of automated welding gantries and custom industrial systems using lead screws, gearboxes, and NEMA motors.
-Applied FEA to identify weak points, validate structural integrity, and redesign components, increasing safety factors by three points.
-Mentored junior engineers, produced GD&T‑compliant drawings (ISO/ANSI), and managed full project lifecycles from concept to implementation.
Mechanical Engineer/Designer, Ryerson Rams Robotics (R3) 2020 - 2022
-Contributed to the design and build of Lincoln Electric’s first in‑house Pantheon Pipe Manipulator, integrating motors, gear systems, and enclosures.
-Diagnosed electrical/software issues on FANUC robots and supported testing, inspection, and troubleshooting of automated gantry systems.
-Designed and fabricated sheet‑metal components and coordinated cross‑functional reviews to ensure manufacturable, compliant designs.
Engineering Intern, Lincoln Electric Automation 2021 - 2022
-Designed a compact gantry system for a Mars Rover SCARA arm, reducing size by 20% and integrating clean cable routing and EMI‑minimizing sensor mounts.
-Programmed the gantry and SCARA arm in Python and produced detailed GD&T drawings for custom brackets, housings, and enclosures.
-Collaborated with electrical and software teams to integrate motor drivers, IMUs, and vision systems into the rover platform.

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