白秉澔 (Bair Ping Hao)
Master of Computing graduate at NUS with 2+ years working experience as a software engineer (Data / ML) in the information industry.
Education
National University of Singapore
Master of Computing (AI) • 2022 - 2024
∙ Thesis (Web IR/NLP Group): Interacting with LLMs via Chat: A Study on Dialogue State Tracking with Zero-shot Learning
∙ Coursework: NNDL, Big-Data Analytics, Text Mining, Sound & Music Computing, CVPR, AI, Uncertainty Modeling, Software Engineering, Enterprise Systems Architecture, Computer Networks
National Taipei University of Technology/National Taiwan Normal University
Credited Program, College of Electrical Engineering and Computer Science • 2021 - 2021
∙ Coursework: OOP, OS, Computer Architecture, Data Structure, Computer Algorithms, Linear Algebra, Discrete Mathematics
National Taiwan Normal University
Bachelor of Business Administration, Disciplinary Expertise in Finance • 2013 - 2018
∙ CS Coursework: Statistics, Program Trading, Database System, Data Visualization, Data Mining
∙ Singapore Management University (Exchange): Quantitative Finance and Financial Innovation Project
Work Experience
Data Engineer • National Taiwan Normal University - Office of Institutional Research
September 2021 - December 2021 | Taipei, Taiwan
• Developed ETL pipelines for various school data sources, analyzed institutional database data, and visualized insights on the NTNU website
Software Engineer (AI) • Institute for Information Industry - Cybersecurity Technology Institute
July 2018 - November 2020 | Taipei, Taiwan
• Designed a custom Bi-LSTM model to detect malware using opcode sequence (achieving a 93.6% recognition rate with 25,000+ samples during testing); provided an antivirus scanning service by deploying RESTful APIs on a Linux Server
• Utilized ELK stack and collect large-scale Twitter data; deployed ML/DL models with Docker for Secbuzzer (threat intelligence platform product) to categorize cybersecurity-related tweets, detect topics, and generate labels
• Developed a sentiment analysis tool which measured real-time public opinions on four social media platforms to identify policies/events which led to positive or negative opinions for public-owned enterprise
• Used PySpark to process 10+ million fuel transactions and built gated recurrent unit (GRU) models to predict motorfleets’ fuel demands and risk scores for terminating contracts
• Extracted information on Darknet marketplaces/forums, integrated Indicators of Compromise (IOC) data from threat intelligence platforms to identify latest zero-day exploits and data breaches
Quantitative Trading Developer • Yuanta Securities
February 2017 - July 2017 | Taipei, Taiwan
• Utilized web scraping technology to extract multi-source financial time series data and stored it in MongoDB
• Built a Python-based monitor system to automatically detect mis-pricing opportunities of Taiwan Stock Index Option
• Created and assessed algorithmic trading strategies based on volatility skew, momentum, and other indices for both domestic and global derivatives such as equity index futures and options
AI/ML Skills
- Natural Language Processing
- Graph Neural Networks
- Sound Computing
- Big Data Analytics
- Computer Vision
Programming Languages & Tools
- Python, C/C++, C#, JavaScript, R, SQL
- Linux, AWS, Docker, Git, PySpark, PyTorch, Keras, ELK, MERN Stack
