Hi, I'm Meng Han πŸ‘‹

Aspiring AI/ML Engineer based in Singapore πŸ‡ΈπŸ‡¬.

Open to Work & Collaboration!

I'm actively seeking opportunities in AI/ML engineering and welcome collaborations on VLMs, LLMs, or real-world ML applications. Expecting to grad in Dec 2026.

Meng Han

My Journey

NUS Office of Internal Audit logo

NUS Office of Internal Audit

AI Engineer Intern

Sep 2025 – Present
  • Built an end-to-end fraud detection system for vendor invoices using OCR, PDF forensics, and document similarity - cut manual audit time by ~30%.
  • Designed an explainable unsupervised anomaly detector (Isolation Forest + SHAP) to flag suspicious claims without labeled fraud data.
Changi Airport Group logo

Changi Airport Group

Machine Learning Engineer Intern

May 2025 – Aug 2025
  • Boosted taxi demand forecasting accuracy from 48% to 62% at Terminal 3 using XGBoost with time-series feature engineering.
  • Automated flight turnaround analysis across 18k+ records to identify ground-crew bottlenecks and reduce departure delays
  • Slashed monthly data pipeline runtime from 12h to 8.5h via a SageMaker-based ETL system with enhanced logging.
Cisco-NUS Accelerated Digital Economy Corporate Laboratory logo

Cisco-NUS Accelerated Digital Economy Corporate Laboratory

Research Assistant

Jan 2025 – May 2025
  • Built a real-time human detection and tracking system using YOLOv8 + DeepSORT on overhead fisheye video feeds, achieving 84% mAP at 15 FPS on a standard workstation.
  • Developed a low-latency pipeline to convert calibrated video streams into standardised JSON bounding boxes, enabling near real-time motion analysis for digital-twin applications.
Rockship (NUS Overseas College, Vietnam) logo

Rockship (NUS Overseas College, Vietnam)

AI / Computer Vision Engineer Intern

Jan 2024 – June 2024
  • Created a RAG system (LangChain + LlamaIndex) that ingests 50+ n8n workflows to auto-generate new workflows
  • Developed and deployed robust, scalable LlamaIndex RAG APIs for text and image embedding with built-in OCR safeguards, adopted as boilerplate by internal engineering team to accelerate prototype development
  • Improved YOLOv8 nail detection mAP by 20pp via targeted labeling; integrated into an ARKit iOS app for sub-centimeter construction alignment

Technical Expertise

Languages

  • Python (Primary)
  • C, C++
  • SQL
  • Java
  • Next.js

ML/AI & Generative Models

  • PyTorch
  • TensorFlow
  • Diffusion Models / VLMs
  • NLP, LLM, RAG
  • scikit-learn

MLOps & Deployment

  • AWS, GCP
  • CI/CD, GitHub Actions
  • LangSmith, LangFuse
  • Docker
  • ONNX
  • FastAPI
Β© 2026 @yeo-menghan.com