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 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.
Outside of tech, I deeply enjoy cycling, photography, anime, gaming and exploring new parts of the world!
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
A Levels
Hwa Chong Institution
January 2014 - December 2019
Infocomm Club | Students's Council | Volunteering
What I'm Working On
Currently exploring the frontiers of AI through my graduate studies and personal ventures, with a particular focus on:
- →Operating small local LLMs - RAG, fine-tuning, quantisation to optimise performance on limited compute
- →Diffusion Models and their applications in generative AI (Stable Diffusion, LoRAs, Pose Estimation and VideoGen)
- →Scalable ML systems and distributed computing for data science using Apache Spark on GCP Dataproc
Experience Highlights
AI Engineer Intern
Sep 2025 - PresentNUS Office of Internal Audit
→ PDF Tampering detection using OCR, similarity analysis, metadata forensics and pdf xref structure analysis
→ Research on detecting AI-generated receipts generated using unified multimodal LLMs (e.g. Gemini, ChatGPT)
Machine Learning Engineer Intern
May - Aug 2025Changi Airport Group
→ Taxi demand forecasting using XGBoost
→ Aircraft arrival and departure data analysis
→ Automated data cleaning pipelines on AWS
Computer Vision Research Assistant
Jan - May 2025Cisco-NUS Accelerated Digital Economy Lab
→ DEEPSort + YOLOv8 for real-time human tracking from overhead fisheye camera
→ Data pipeline for low-latency bounding box streaming in digital twinning applications
AI & Computer Vision Engineer Intern
Jan - Jun 2024Rockship (NUS Overseas College Vietnam)
→ RAG pipeline with Langchain ingesting 50+ n8n workflows for n8n node & workflow generation
→ Boilerplate internal tooling for scalable LlamaIndex RAG APIs
→ YOLOv8 object detection to detect nails on wall and check alignment
Robotics Engineer Intern
May - July 2023DSTA Land Systems
→ Implemented the state-of-the-art RTAB-Map Visual SLAM algorithm on DJI RoboMaster to enable real-time mapping and localization for reconnaissance missions.
→ Designed a scalable multi-robot framework that force-multiplies robotic capabilities by integrating robots with a central platform via ROS and MQTT.
Skillset
Programming & Web
- Python
- C, C++
- TypeScript
- Next.js
- FastAPI
AI & Machine Learning
- PyTorch
- TensorFlow
- NLP / LLMs
- Image / Video Gen
- LangChain / LlamaIndex
Data & Cloud
- MySQL
- MongoDB
- Tableau
- AWS
- GCP
DevOps & Others
- Docker
- GitHub Actions
- Git
- Computer Networks
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!