Curriculum Vitae

Work Experience

Robotics Researcher - Computer Vision

May 2022 - Present

Omron Robotics, Pleasanton, CA

Designed and implemented a scalable, failure-resistant, hybrid SLAM framework, successfully resolving critical customer challenges in AMR navigation for industrial automation

Defined and implemented high-fidelity noise models and extrinsic calibration pipelines to mitigate localization uncertainty, ensuring stable long-term SLAM performance

Developed CUDA-optimized modules for SLAM front-end such as HDR fusion and feature extraction, enabling real-time data reduction

SLAM Engineer, Computer Vision/3D

Jan 2020 - May 2022

Hilti Group, Walnut Creek, CA

Led the development and testing of a processing pipeline, a key component of 3D reality capture system, involving 3D reconstruction from RGB-D data captured from hand-held, mobile device(s)

Defined and implemented techniques to automatically and/or semi-automatically analyze imaging sensors and algorithms, both quantitatively and qualitatively, using tools such as ROS, PlayCanvas (WebGL), PCL and OpenCV

Research Engineer - Scene Understanding

Jan 2017 - Dec 2019

Honda Research Institute, San Jose, CA

Led the design and implementation of a scene understanding pipeline for autonomous vehicles which involved integrating state-of-the-art object detection, point cloud registration, visual odometry estimation and sensor fusion algorithms

Education

M.S. in Robotics

Aug 2015 - Dec 2016

Northwestern University, Evanston, IL

B.E. in Mechanical Engineering

Apr 2010 - Jun 2014

National University of Singapore, Singapore

Skills

Robotics

SLAM & Navigation
ROS/ROS2 Development
3D Computer Vision
Multi-view Geometry (MVG)
Visual-Inertial Odometry (VIO)
Calibration
3D Reconstruction
Sensor Fusion
EKF/UKF
Deep Learning
Machine Learning

Programming

C++, Python, CUDA
OpenCV, PCL, Open3D
NVIDIA Isaac Sim
PyTorch, TensorFlow
SolidWorks (CAD)
3D Printing
Docker, Git
Linux Systems
NVIDIA Jetson