David's Resume

Education

M.S. in Mechanical Engineering, National Taiwan University, 2023
- Thesis: Development of 3D Reconstruction and Navigation for Mobile Robots
- Relevant Coursework: Advanced Computer Vision, 3D Computer Vision with Deep Learning Applications, Operating Systems, Adaptive Signal Processing, System Identification
B.S. in Mechanical Engineering, National Taiwan University, 2020
- Relevant Coursework: Robot Vision, Introduction to Robotics, Machine Learning

Software Engineer at Vecow Co., Ltd. (Oct. 2023 – Present)
- Synchronized and visualized point clouds from LiDARs and cameras using the PCL library.
- Fine-tuned PTP and gPTP protocols for precise GPS time synchronization system-wide.
- Developed a sensor fusion algorithm integrating IMU and GPS for AMR navigation.
- Integrated GPS and IMU sensor fusion recipes into the PetaLinux environment.
Firmware Engineering Intern at Aeroprobing Inc. (Jun. 2021 – Aug. 2022)
- Developed and optimized FreeRTOS-based task synchronization for drones.
- Managed sensor modules with SPI/I2C/UART protocols.
- Applied the extended Kalman filter to enhance orientation, altitude, and position estimation.
- Fine-tuned drone controls using PID control in cascade loops, improving flight stability.
Mechanical Engineering Intern at Symbio, Inc. (Jul. 2018 – Aug. 2018)
- Innovated tools to enhance coating efficiency and product quality.
- Collaborated with a team of eight to maintain and optimize the manufacturing process.
Software Developer in Hello RoBi1.0 Robotic Startup Bootcamp (Dec. 2017 – May 2018)
- Embedded a recommender system in Pepper Robot for product promotion in furniture stores.
- Enhanced brand experience through integrated online and offline marketing strategies.

Real-time Pipeline for 3D Mesh Reconstruction from RGB-D Data (Spring 2023) YouTube
- Developed a real-time pipeline for 3D mesh reconstruction using RGB-D data.
- Enhanced camera pose estimation accuracy with bilateral filtering.
- Implemented GPU acceleration, achieving real-time performance for large-scale environments.
SAD-SLAM (Fall 2022) Github
- Enhanced the NICE-SLAM algorithm with Sign-Agnostic optimization.
- Integrated Mask-RCNN to handle dynamic obstacles in SLAM structure.
- Validated the approach using a handheld RealSense camera.
MIMO System Identification of A Quadcopter (Spring 2022) report video
- Conducted MIMO system identification on a quadcopter, comparing various models.
- Designed and tested a robust controller, evaluating performance improvements.

Here are some of the online courses I’ve completed recently, including details on the course content and certificates.

FPGA Computing Systems (Coursera) Certificate
- Completed on Aug. 2024
- Course Contents:
  - FPGA computing systems: Background knowledge and introductory materials
  - FPGA computing systems: Partial Dynamic Reconfiguration
  - Developing FPGA-accelerated cloud applications with SDAccel: Theory
  - Developing FPGA-accelerated cloud applications with SDAccel: Practice
Hello FPGA (Microchip University) Certificate
- Completed on Aug. 2024
- Course Contents:
  - Introduction to Microchip’s FPGA portfolio, including PolarFire FPGA and PolarFire SoC families
  - Architectural details of FPGA families, target applications, and available IP blocks
  - FPGA design flow using the Microchip Libero SoC toolset targeting the Hello FPGA platform
Computer and Peripheral Hardware (Coursera) Certificate
- Completed on Aug. 2024
- Course Contents:
  - Identify basic cable types and their connectors, features, and purposes.
  - Explain and configure motherboards, central processing units (CPUs), and add-on cards.
  - Demonstrate knowledge of several types of memory and their installation.
Google IT Automation with Python (Coursera) Certificate
- Completed on Jul. 2024
- Course Contents:
  - Introduction to Git and GitHub
  - Using Python to Interact with the Operating System
  - Troubleshooting and Debugging Techniques
  - Automating Real-World Tasks with Python
  - Crash Course on Python
  - Configuration Management and the Cloud

Programming Languages: C/C++, Python, C#
Software Tools: Matlab (including Simulink), HTML/CSS, PyMesh, Blender, AutoCAD, FreeCAD, Inventor, PTC Creo
Hardware Platforms: Arduino, STM32 (including FreeRTOS)