Jonathan Spraggett
Robotics Software Engineer at MOSTAVIO
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolJonathan Spraggett is a robotics software engineer with eight years of experience building autonomy, motion planning, and sensor-fusion systems for both humanoids and a 250 kg eVTOL platform. He combines strong academic grounding in robotics and ML from the University of Toronto with hands-on expertise in ROS2, C++, Python, Gazebo SITL/HITL, and CI/CD for real-time robotic systems. Jonathan has led multidisciplinary teams, won a stage of the GoAero contest, and shipped residual-based multi-sensor fusion and trajectory optimization that improved localization and fault tolerance in flight. His research on reinforcement and imitation learning (PPO, AMP) and practical transfer techniques like domain randomization demonstrate a rare ability to move simulation-trained controllers into the real world. He’s as comfortable tuning low-level control loops as he is orchestrating full-stack validation pipelines, and his background in large-scale data and algorithm optimization shows a pragmatic focus on reliability and performance.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Applied Science in Engineering Science - BASc Robotics Engineering, Bachelor of Applied Science in Engineering Science - BASc Robotics Engineering at University of Toronto
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (24)
simulation10
playing10
odometry10
robot10
control-systems10
robocup10
ros10
artificial-intelligence9
robotics9
distributed-systems9
python8
darknet7
object-detection6
computer-vision6
mujoco6
Programming languages (5)
Github contributions (5)
utra-robosoccer/hlvs_webots
Dec 2022 - Dec 2024
Contributions:10 PRs, 26 pushes, 8 branches in 2 years
utra-robosoccer/Bez_IsaacGym
Nov 2021 - Jul 2022
Isaac Gym Reinforcement Learning Environments for humanoid robot Bez
Contributions:49 commits, 8 PRs, 13 pushes in 8 months
reinforcement-learning-environmentsroboticsartificial-intelligencereinforcement-learningisaac-gym
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