Tesla
I worked on the body firmware controls team, and developed lighting applications that run on the new palladium Model S, X, and Tesla Semi such as the Tesla Light Test, which was featured on the Tesla Semi Delivery Event
Hi, My name is Steven Feng
I am a _
I'm a driven Mechatronics Engineering Student with AI specialization from the University of Waterloo with passion in designing robotics systems and experience in C, C++, and Python programming for autonomous vehicle, control systems, and IoT.
CONNECT WITH ME!Work
NVIDIA
I joined NVIDIA Isaac Sim team, a scalable robotics simulation that powers photorealistic, and physically accurate metaverse for training advance robots. I worked on creating force sensors and simulating quadruped robots in the Omniverse
ecobee
Ecobee is a Canadian Smart Thermostat Company, I joined Ecobee as an embedded developer, worked on fixtures that supports thermostats productions and developed computer vision and machine learning algorithms for testing displays
University of Waterloo, Faculty of Electrical and Computer Engineering
I joined the Teaching Team for an introductory C++ programming course as a TA, hosted tutorials, graded assessments, created exam questions, and supported the automated testing server using Python.
Khazanah National Americas
Khazanah is a National Wealth Fund that primarily invest in Silicon Valley startups, and as an innovation intern, I worked on different projects in the fields of drone, computer vision, AR/VR to better understand and explain the technologies to the investors
Ford Motor Company
At Ford Motor Company, I worked on supporting the various chipsets used in the F150 Lightning as a member of the manufacturing software team, using tools such as Jenkins, NI Teststand, C#, and Python.
About Me
I am an mechatronics engineer with 2 years of work experience in various sectors such as robotics, automotive, IoT, and education, and gained valuable experiences with C++, Python, and tools such as .NET, Unity and more.
Outside of school, I am a part of WATonomous, the Waterloo's self driving car team where I gained insights in autonomous vehicles and experiences with ROS. In addition, I compete in hackathons and have built 10 unique projects which won numerous awards and learned tools such as Tensorflow and OpenCV.
In my free time, I play the accordion and clarinet. I am also a fully licensed pilot, and I miss flying!
Skills
C, C++, C#
Python, MATLAB, R
Arduino, Raspberry Pi, ESP8266
OpenCV and learning Tensorflow
Solidworks, AutoCAD, Blender
ROS, ROS2, Gazebo, and Isaac Sim
Projects and Hobbies
Airplane Project (2020)
The sky is calling!
In this project, I built a remote controlled airplane from scratch using raspberry pi and esp8266 modules, and designed software and mechanical architectures from scratch in a team of two.
Watonomous
Bolty!
Watonomous is a University of Waterloo design team that turns a chevy bolt to a level 4 autonomous vehicle. At Watonomous, I worked on local planning for the vehicle, particularly with the MPC controller and gained valuable experience with ROS.
Webapp Hackathon Projects
Best Use of Google Cloud Award (Purrtector, NWHacks 2021)
Intelibatch (left) is a webapp for displaying and predicting COVID19 cases across North America using React (front end), Flask (back end), and Tensorflow (prediction) to compute the optimal batch size for repeated testing
Purrtector (right) is a chrome extension for encouraging planet positive behaviors by rewarding users with digital pets using React and Flask.
Wearable Hackathon Projects
1st Place (VisionSense, MakeUofT 2019)
VisionSense (left) is an IoT outfit to haptically guide users with visual impairments/obstructions while monitoring their environment
Nightlight (right) is a wearable that allows bike users to signal turns at night via motion-sensing technologies which will activate turn lights
BOFA, the Line Follower Robot
2nd highest competition mark
Lead the mechanical design for a line following robot using SolidWorks, drafted Bill of Material, and oversee software, mechanical, and electrical developments as project manager
HiSecurity!
Hack the north, 2019
This camera system which utilizes machine vision (OpenCV and Sktlearn) to physically track and identify faces using the stepper motors onboard. The handy ui also enables users to track the system remotely and in real time.
VEX Robotics
Finalists, Alberta Provincial Championship 2017 and 2018
Over the three years, we explored various robotics systems such as holonomic drives, reverse double four bar lifts, and even learned C programming and programed PID controllers from scratch in a team of three.
Furthermore, we qualified and competed at VEX World Robotics Championship representing Canada twice, and this experience ultimately propelled me towards a career in robotics engineering.
Pilot
"Oh! I slipped the surly bonds of earth and danced the skies on bright yellow wings."
I finally touched the sky when I earned my glider pilot license in grade 10 and private pilot license in grade 11. This was an breathtaking experiences that inspires me to build robotics airplanes to this date.
