About Me
Education
Key Highlights
Experience
2+ yearsHighlight
10+ projectsWorked in
4 organizations
As a highly self-motivated individual with a passion for technology and a knack for
problem-solving, I am always eager to experiment with technologies and build innovative
solutions. My ability to quickly learn and adapt to new challenges enables me to thrive
in evolving situations.
I have also honed my skills as a proactive troubleshooter, always
seeking out and addressing issues with determination, a role that I embraced during my
internships and part-time work/projects. I enjoy keeping up-to-date on latest trends and
technologies, positioning me at the forefront of technological advancements in the field.
You may view my portfolio in the section below:
Work Experience
-
Jul 2023 - PresentAI/ML EngineerPanasonic Industrial Devices SingaporeDesigned a knowledge graph retriever with iterative search, improving answer relevancy in a chatbot system.Developed a multi-component gas quantification pipeline in Python for electronic nose applications, incorporating exploratory data analysis, calibration, synthetic data generation, feature analysis, and model training.Proposed a reference signal generation method that reduced data requirements by 50% while remaining robust to environmental fluctuations and conceptualized algorithms for indirect sensor reliability tracking.
-
May 2022 - Jan 2023Research Assistant (Data Science)NTU Nanyang Business SchoolDesigned Python web scraping scripts to extract textual content from 5 websites using Selenium. Conceptualised ELT pipeline for indexing, archiving, field extraction, and data cleaning to build high-quality, structured datasets.Interfaced with Twitter API to build large-scale geo-tagged datasets (4 mil tweets) with ETL pipeline. Developed NLP-based geolocation models with composite feature engineering to predict user locations based on tweet features.Utilized JavaScript and Google Earth Engine to aggregate biodiversity data on specific regions from public datasets. Conducted geospatial data analysis and generated visualizations using Python, R, geopandas, and matplotlib.
-
Jan 2022 - Jun 2022Deep Learning Algorithm Engineering InternPanasonic R&D Center SingaporeConceptualised robust computer vision prototype using Python, OpenCV and PyTorch for real-time end-to-end social distancing and mask detection on network camera and low-power 15-watt Jetson device.Investigated and trained 3 light-weight AI submodules, optimising for computation speed while maintaining good accuracy. Built and containerized system as Docker image for system reusability and deployment.Utilised and trained Generative Adversarial Networks (GANs) for image-to-image translation tasks to augment existing image datasets to different domain, reducing model bias in semantic segmentation and other tasks.
-
May 2021 - Oct 2021Software Engineer (Backend, IoT) InternEnergy Research Institute @ NTUAdapted multiple services and technologies (NGINX, PostgreSQL, MQTT, and Python) as the project stack on Linux-based system. Setup services on workstation server and integrated various sub-modules for team members.Designed and implemented database logic design; incorporated dashboard app components using ReactJS.Refined and debugged software, including creating Python automated scripts to capture and process real-time stream data from Bluetooth Gateways and IP Cameras.
Portfolio

Driver Action Recognition using Artificial Intelligence
Final Year Project 2023: School of Electrical and Electronic Engineering β Continental-NTU Corporate Lab
View demo video View slide deck View FYP report
License Plate Extraction
Carro x AWS Hackathon 2022
Public post by NTU EEE View slide deck View code
Online Face Detection and Recognition System
Module Project 2023: Intelligent Systems Design
View slide deck View code
P.E.A.K (Price & Electricity Analysis Kit)
MLDA@EEE Deep Learning Week Hackathon 2022
View slide deck View code
Smart Touchless Control with Credit-Card Sized Radar Sensor and Microcomputer
NTU Design and Innovation Project 2021
View demo video View report View code
Deep-learning Based Approach for OFDM System
Undergraduate Research Experience on CAmpus (URECA) 2021
View slide deck View paper View code
Fraudulent Job Postings Sentiment Analysis
Module Project 2020: Introduction to Data Science and Artificial Intelligence
View slide deck View code