PhD researcher. Distinguished Technologist. Builder.

Identity

I am the technical architect behind Singapore Airlines' enterprise GenAI infrastructure, serving as a Distinguished Technologist. My work spans infrastructure, strategy, business outcomes, external partnerships, cost optimization, and people development.

Background

I hold a PhD in Machine Learning from Nanyang Technological University, where my research on human-inspired progressive learning techniques for classification problems was published in top-tier journals and conferences.

Foundational ML

• Transformer training & fine-tuning: End-to-end model training, transfer learning, and parameter-efficient fine-tuning across modalities
• NLP & computer vision: Production NLP and CV pipelines. Classification, extraction, detection, segmentation, and OCR at scale
• Recommender systems: Hybrid recommendation combining collaborative filtering, content-based, and neural approaches
• Traditional ML & more: Tabular learning, time series, clustering, anomaly detection, ensembles, and graph representation learning.

At work today

At Singapore Airlines, I conceptualized and delivered the GenAI Service Layer, an enterprise-reusable framework handling 100% of enterprise GenAI traffic across 100+ production use cases, and the Agent Service Layer, an agentic-systems framework that cut the full idea-to-production pipeline (development, evals, human validation, load testing, deployment) from 16 weeks down to 2 weeks or less. I serve as the primary technical advisor to the CEO-chaired GenAI Blueprint Committee.

I see my role as the connective tissue between deep technology and business value across the organization.