# Daniel Cheang

> Robotics software engineer

Location: Columbus, Ohio Metropolitan Area, United States
Profile: https://flows.cv/danielcheang

I am a mechanical engineer by training and I am passionate about Robotics. After working for years as a Design and Testing Engineer, I decided to resign and take courses in Robotics, Deep Learning, and Algorithms full-time. I have created several hands-on projects applying what I have learned in the two years of self-study to showcase some of my skills. They include a robotic arm typing on a keyboard and an autonomous rover (see "Projects" below for Youtube demos).

Skills: C++, Python, ROS, OpenCV, Arduino, Raspberry Pi, Matlab, etc.

## Work Experience
### Senior Robotics Software Engineer @ Slip Robotics
Jan 2024 – Present | Atlanta Metropolitan Area

### Software Engineer @ Path Robotics
Jan 2022 – Jan 2024 | Columbus, Ohio, United States
- Designed a scalable software architecture for the computer vision pipeline that locates weldable seams in 3D.
- Profiled code, analyze the result to look for slow-performing code, and then improve it.
- Performed refactoring on existing codebase to improve testability, readability, reusability, etc.
- Set up and maintain the continuous integration pipeline to improve the quality of the codebase.
- Automated various processes such as data saving and launching software with Bash scripts and SystemD
- Created a software plugin to allow the robot to perform motion planning offline on weldable seams of interest.

### Robotics software engineer @ SEA Limited
Jan 2020 – Jan 2022 | Columbus, Ohio, United States
-Being the main ROS programer for a mobile robot used for vehicle testing. The ROS nodes perform a variety of functionalities including a state machine, path planning algorithm, motor control  via CANopen, GUI communication via Websocket, differential drive mechanism, and obtaining sensor information from a microcontroller.

-Being the main GUI programer for the mobile robot using Typescript and React.

-Evaluated, tested, and selected various electrical components.

-Trained and deployed  a neural network (Single Shot Detector) to detect off-road vehicles and pedestrians.  Carefully selected the training dataset and applied data augmentation to diversity the images.

### Robotics Engineer @ Amazon Lab126
Jan 2019 – Jan 2020 | Sunnyvale
-Set up automation lines to assemble consumer products.

-Implemented automation tasks in C# such as pick-and-place, screwing operation, coordination b/w machines, etc. 

-Implemented VisionPro programs for feature detection and calibration.

-Performed repeatability and accuracy studies on the automation machines

### Mechanical Engineer @ OneSubsea
Jan 2014 – Jan 2017 | Houston, Texas Area
-Design and test metallic seals and other subsea equipment
-Perform Finite Element Analysis (FEA), stress calculations, and tolerance stack-up
-Select materials and coatings that ensure the performance and safety of products
-Use CAD software (Inventor) to create models and drawings with GD&T
-Heavily involved in purchasing, manufacturing, inspection, and testing operation throughout projects

### Engineering Intern @ Schlumberger
Jan 2013 – Jan 2013 | Houston, Texas Area
-Identify the weak sections of a packer and perform stress 
-Design a centralizing mechanism for a packer

### Research Assistant @ Biomechanics Experimental Laboratory at The University of Texas
Jan 2013 – Jan 2013 | Austin, Texas Area
-Develop a LabVIEW program to obtain material data of heart tissue by controlling servos to press/pull/shear the tissue.

### Engineering Intern @ Ingersoll Rand
Jan 2012 – Jan 2012 | Tyler, Texas Area
-Design HVAC components using Creo


## Education
### Master's degree in Computer Science
Georgia Institute of Technology
Jan 2024

### Bachelor's degree with Honor in Mechanical Engineering
The University of Texas at Austin
Jan 2010 – Jan 2013

### Robotics Software Engineering Nanodegree (8 Months)
Udacity
Jan 2017 – Jan 2018

### Robotics Specialization (6 Months)
University of Pennsylvania via Coursera
Jan 2017 – Jan 2018

### Robotics (2.5 Months)
Columbia University via EDX
Jan 2018 – Jan 2018

### Deep Learning Nanodegree (3 Months)
Udacity
Jan 2018 – Jan 2018

### Algorithms and Data Structures (6 Months)
UC San Diego via Coursera
Jan 2018 – Jan 2018


## Contact & Social
- LinkedIn: https://linkedin.com/in/daniel-cheang

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Source: https://flows.cv/danielcheang
JSON Resume: https://flows.cv/danielcheang/resume.json
Last updated: 2026-03-22