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Senior Backend Engineer

National University Health System (NUHS), Singapore

• Architected and developed serverless AWS and Kubernetes-based platforms to support patient follow-up, food logging, and clinical decision support for 3,000+ patients.
• Built real-time bidirectional chatbots using AWS Lambda and Django, enabling seamless patient communication via WhatsApp.
• Developed and deployed production-grade Kubernetes CronJobs to analyze 15,000+ patient records for health risk scoring and reporting.
• Implemented a Clinical Decision Support System used across 11 hospitals and polyclinics, reducing manual checks and consultation time by up to 20%.
• Designed an AI-powered drug knowledge ingestion pipeline integrating AWS Bedrock and Claude 3.5, eliminating manual drug data curation.
• Created a full-stack food logging system with AI feedback that accelerates dietitian consultations and improves patient engagement.
• Optimized AWS Athena query performance by 90% and reduced S3 storage costs by 50% through log partitioning and lifecycle policies.
• Collaborated closely with data scientists to build end-to-end pipelines combining NLP, embeddings, and LLMs for clinical and patient-facing applications.

Senior Data Scientist

Department of Data Science, Singapore General Hospital (SGH), Singapore

• Led and scaled a cross-functional data science team while spearheading forecasting, risk modeling, and real-time prediction projects.
• Deployed a Prophet-based system to predict dialysis demand, improving nurse scheduling and resource planning.
• Evaluated ML models to predict ICU risk and hypoglycemia using real-world patient data.
• Established HPC workflows, SOPs, and reviewed hospital-wide AI proposals for feasibility and impact.

Project Officer

School of Physical and Mathematical Sciences, NTU, Singapore

• Improved RNA flexibility prediction by 16% through a novel ML + topological data analysis framework.
• Simulated realistic financial time series using GANs and HMMs to explore market regime dynamics and investment strategies.
• Published and validated multiple research models in both biomedical and financial domains.

Data Analyst

DB Schenker

• Optimized warehouse layout, routing, and fleet usage, achieving over SGD 270K in annual cost savings.
• Automated product velocity and truck allocation analyses using Python, improving logistics efficiency.
• Revised SOPs post-automation rollout to align operations with new conveyor and sorting systems.

AWS Certified Developer - Associate

Amazon Web Services

AWS Certified Solutions Architect - Associate

Amazon Web Services

AWS Certified Cloud Practitioner

Amazon Web Services

Master of Science (Statistics)

National University of Singapore (NUS), Singapore