Singapore
Experienced programmer with interests and project experiences in robotics perception, particularly with 3D geometric perception (LiDARs) and computer vision. Currently a robotics perception engineer at DSO with a focus on LiDAR systems for perception, segmentation, localization and mapping. https://github.com/Samleo8/
Perception engineer for robotic systems
Successfully implemented phase correlation and partially implemented local pose‑graph estimation components of the PhaRaO radar odometry paper by Park et. al. in C++, using the OpenCV and Ceres Solver libraries.
Infantry Reconnaissance (Scout) Trooper in the Singapore Armed Forces (SAF). Completed the gruelling month-long Reconnaissance Trooper Course and awarded the elite "Recon Tab" in March 2018. Part of the first-ever batch of scout troopers to be trained as a motorized recon company. Chosen as part of the elite Mini-UAV drone platoon, and completed the respective courses in August 2018.
Successfully implemented and tested algorithm for communication between a TI-MSP430 microcontroller and an ASIC Chip via the SPI Protocol. Further implemented data transmission from said microcontroller to another via Wi-Fi, to allow wireless processing of data. Algorithm further modified by organisation for their internal applications.
Project Title: Optically-Illuminated Directional Sensing for Guidance and Alignment Systems - Successfully prototyped analog circuit capable of demodulating and amplifying frequency-modulated laser signal. - Programmed algorithm on TI-MSP430 Launchpad microcontroller to parse analog input from circuit. Converted digital signal then used to sense direction of laser-point, and control a novel omni-directional land robot. - Represented Singapore at Intel International Science and Engineering Fair (ISEF).