I’m a Singapore-based Data Scientist with experience designing and delivering production-ready AI solutions across generative AI, machine learning, cloud platforms, and intelligent document processing.
My work focuses on building enterprise AI systems that solve real business problems. At Nautarex Systems, I develop AI-powered document intelligence solutions using Google Vertex AI Gemini, Python, SQL Server, OCR, and business-rule validation to automate extraction and processing of maritime documents. Previously, I built machine learning and cloud automation solutions using AWS, Azure, and Google Cloud, including document processing pipelines, predictive analytics, reimbursement automation, and vessel fuel optimization models.
Alongside my industry experience, I completed a Master of Science in Applied Data Science at Indiana University Indianapolis, graduating with a 4.0/4.0 GPA. My research focused on natural language processing and large language models, where I developed systems for detecting cultural ambiguity in images using advanced NLP techniques.
My technical interests include Generative AI, Retrieval-Augmented Generation (RAG), agentic AI systems, LLM applications, machine learning, cloud AI platforms, and enterprise software engineering. I enjoy building AI systems that move beyond experimentation into reliable, scalable solutions that create measurable business value.
I’m always interested in opportunities to work on challenging AI problems and collaborate with teams building intelligent products and enterprise AI platforms.