Hi, I'm Meng Han 👋
Aspiring AI/ML Engineer passionate about building intelligent systems that solve real-world problems
I'm currently pursuing a Master of Science in Data Science and Machine Learning at the National University of Singapore, where I'm deep-diving into the fascinating world of Large Language Models, Big Data and Machine Learning Algorithms. With a background in Computer Engineering and hands-on experience across machine learning, computer vision, and AI systems, I love turning complex problems into elegant solutions.
Education
Master of Science in Data Science & Machine Learning
National University of Singapore
July 2025 - Present
Relevant Coursework: Scalable Distributed Computing for Data Science, Data Science in Quantitative Finance
Bachelor of Engineering in Computer Engineering
National University of Singapore
August 2022 - July 2025
First Class Honours | GPA: 4.51/5.00 | Engineering Scholarship Programme
What I'm Working On
Currently exploring the frontiers of AI through my graduate studies, with a particular focus on:
- →Advanced techniques in Large Language Models, including RAG systems and fine-tuning strategies
- →Diffusion Models and their applications in generative AI (Stable Diffusion, LoRAs and VideoGen)
- →Scalable ML systems and distributed computing for data science using Apache Spark on GCP Dataproc
Experience Highlights
Machine Learning Engineer Intern
May - Aug 2025Changi Airport Group
Enhanced taxi demand forecasting accuracy from 48% to 62% using XGBoost, deployed models via CI/CD pipeline to AWS, and built automated data pipelines reducing processing time by 29%.
Computer Vision Research Assistant
Jan - May 2025Cisco-NUS Accelerated Digital Economy Lab
Implemented DEEPSort with YOLOv8 for real-time human tracking achieving 84% mAP at 15FPS, and developed data pipeline for low-latency bounding box streaming in digital-twinning applications.
AI & Computer Vision Engineer Intern
Jan - Jun 2024Rockship (NUS Overseas College Vietnam)
Built RAG pipeline using LangChain ingesting 50+ n8n workflows, developed scalable LlamaIndex RAG APIs, and improved YOLOv8 object detection mAP by 20 percentage points.
Interests
Technical
Deep learning architectures, LLMs, diffusion models, computer vision, and AI safety
Beyond Code
Cycling, photography, anime, gaming and exploring new parts of the world!
Open to Collaboration
I'm always excited to collaborate on AI-related applications, especially those involving LLMs, computer vision, or solving real-world problems with machine learning. Feel free to reach out!