About me

I am currently an AI/ML Computational Scientist at Accenture Singapore, working under the AI Refinery Hub, where I focus on the deployment of cutting-edge AI solutions, particularly Large Language Models (LLMs), Vision-Language Models (VLMs), and multi-agent systems, across a wide range of industries including finance, retail, advertising, industrial automation, and supply chain.

Previously, I worked as a Research Scientist at the Advanced Remanufacturing and Technology Centre (ARTC), A*STAR, where I led projects on AI-driven manufacturing intelligence, including engineering drawing information extraction, CAD feature recognition, digital twin development, acoustic signal processing, and real-time process monitoring.

I hold a Ph.D. in Mechanical Engineering from Nanyang Technological University (NTU), where my research focused on AI-assisted in-situ process monitoring and multi-sensor fusion for advanced manufacturing systems. I also received my B.Eng. with Honours (Highest Distinction) from NTU in 2021.

While my earlier work centered around smart manufacturing, I have since transitioned into broader AI domains, applying scalable and production-grade ML solutions to real-world enterprise challenges.

Professional Experience

My core strengths lie in bridging foundational AI research and practical system deployment. I specialize in:

AI and Machine Learning

  • Developing multi-modal machine learning systems combining vision, audio, and structured data
  • Implementing and fine-tuning LLMs and VLMs (e.g., LoRA/QLoRA-based optimization) for Document Visual Question Answering
  • Building agentic Retrieval Augmented Generation (RAG) pipelines and multi-agent frameworks
  • Developing domain-specific knowledge graphs and integrating them into GraphRAG systems for RAG
  • Designing prompt strategies and orchestration pipelines for task automation and reasoning
  • Developing, and deploying various computer vision models, including classification, segementation (U-Net), object detection (YOLO)
  • Audio signal processing and machine learning, Speech-to-Text model training and deployment, music classification and generation

Applied Intelligence Across Industries

  • Automating knowledge retrieval and insight generation in domains such as:
    • Finance – intelligent document understanding, compliance reasoning
    • Retail & Advertisement – personalized recommendation, trend analysis
    • Industrial AI – agent-based process automation, predictive maintenance
    • Supply Chain – anomaly detection, demand forecasting
  • Deploying AI models via APIs and containerized environments (FastAPI, Docker, MLflow)

Manufacturing Intelligence

  • Developed digital twin frameworks for real-time manufacturing process monitoring
  • Implemented CAD/CAM-based feature recognition and visual defect detection systems
  • Built adaptive control systems using multi-modal sensor data and machine learning
  • Conducted acoustic signal analysis for real-time welding quality monitoring and anomaly detection
  • Developed ConvLSTM model for time-series defects forecasting in multi-layer 3D printing process.

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