Lian Kok Hai
Computer Science, NUS
I'm a hard worker with an insatiable spirit of adventure. I love working in teams and engaging in earnest discussion to broaden my horizons. Outside of my time spent on coding assignments and projects, I enjoy being outdoors, taking photographs and doing art.
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Work and Education
Nov 2020 - May 2021
Machine Learning Intern at DSO National Laboratories
- Built and trained advanced CNN models for image segmentation in a remote sensing context
- Resolved high-availability issues for microservices by developing a POC using Kubernetes, ensuring continuous and reliable access to MongoDB
- Utilized OpenCV for processing, registering, and upsampling images, thereby enhancing data visualization and model accuracy
- Developed a novel contrast enhancement solution for remotely sensed images using logarithmic functions, that performed better than existing solutions
2013-2018
Raffles Institution
Achievements:
- GCE A-Levels 90 / 90 RP (PCME), GPA 3.93 / 4.00
- Raffles Diploma (Distinction)
- Raffles All-Round Excellence Award in 2016
- SMU Youth Innovation Challenge 1st Place Winner in 2016
- Research Education High Distinction in 2015
- A*STAR Science Award (Upper Secondary) in 2015
- Best in Cohort for Art Elective Programme in 2013
May 2022 - Jul 2022
Machine Learning Intern at DSO National Laboratories
- Conducted research on image processing methods for autonomous vehicles, leading to insights on efficient ML-based methods to replace intensive traditional radar signal processing methods
- Enhanced model training speed and scalability by innovating methods for distributed training across multiple GPUs and machines, achieving significant improvements in training efficiency and model performance
- Carried out comprehensive literature reviews on state-of-the-art distributed machine learning strategies and delivered presentations to staff
- Maintained code quality of Python code with Static Analysis platform (SonarQube) to ensure ongoing robustness and reliability
2021 - 2025
National University of Singapore
- Undergraduate of Bachelors of Computing, Computer Science
- Grade: 4.78/5.0
- Recipient of NUS Merit Scholarship
- Dean's List AY22/23 Semester 2
- Executive Committee Member of NUS Mountaineering
- Champion of SUTD X SIA Upcycling Challenge 2021/2022
- Courses Taken:
Software Engineering (A),
Data Structures and Algorithms (A),
Design and Analysis of Algorithms (A-),
AI and Machine Learning (A-),
Natural Language Processing (A-),
Parallel and Concurrent Programming (A),
Computer Organisation (A+),
Computer Networks (A+),
Database Systems (A),
Operating Systems (A, University of Toronto)
Programming Methodology I and II (A/A),
May 2023 - Aug 2023
Software Engineering Intern at PhillipCapital
- Utilized Python and Selenium to automate web scraping processes, reducing data extraction time by up to 90%
- Utilized Excel VBA to create tailored macros automating intricate financial data workflows, resulting in substantial time savings and error reduction
- Leveraged Power Automate's robotic process automation capabilities to transform multi-step physical approval processes into single-click automation, simplifying and expediting office workflows for enhanced efficiency
- Analysed C++/C# codebase and SQL databases, and produced detailed documentation and a recommendation report outlining the necessary steps to update the backend price feeding mechanism
- Coordinated with international developers from various production systems to gather essential information necessary for aforementioned report
May 2024 - Nov 2024
Software Engineering Intern at MicroSec
- Led the development of online network anomaly detection models for an Intrusion Detection System. Successfully implemented into production, increasing training data capcity by 100x
- Reviewed over 40 papers and datasets on unsupervised, online network anomaly detection, identifying and validating approaches applicable in a production deployment
- Tested software on live IIoT network, identifying and resolving hard-to-catch bugs across microservices
