Singapore
I hold a Master’s degree in Artificial Intelligence from Singapore Management University and work as an Applied AI Engineer and Technical Lead focused on building real world AI systems integrated into business workflows. My work centers around large language models (LLMs), retrieval augmented generation (RAG), and agent-based automation, designing reliable AI features that move beyond prototypes into production usage. At Temus, I lead engineering initiatives while introducing AI capabilities into enterprise applications — building knowledge assistants, automated workflows, and evaluation logic to improve operational efficiency. I mentor engineers, guide architectural decisions, and collaborate with stakeholders to translate operational needs into deployable AI solutions. My background in system architecture and OutSystems allows me to bridge AI models with existing software platforms and drive practical adoption. Previously at Rimm Sustainability, I led development of a sustainability analytics platform and coordinated delivery across engineers and business teams, driving data-driven automation across carbon tracking and reporting. I have also contributed to large-scale enterprise systems across telecommunications (StarHub), real estate (Far East Organization), and financial/regulatory environments, gaining strong experience delivering technology in real production settings. With a foundation in computer science and hands-on engineering experience, I approach AI from both theoretical and practical perspectives. I enjoy working at the intersection of engineering and applied research aligning technical decisions with business outcomes and building AI systems that are measurable, reliable, and scalable. My goal is to lead and deliver production-ready AI solutions that organizations can trust and continuously evolve.
Technical lead delivering enterprise applications and introducing AI capabilities into operational workflows. • Led development of business applications. • Designed and deployed LLM powered assistants to automate internal processes • Built RAG pipelines using embeddings and vector retrieval over enterprise knowledge bases • Implemented agent workflows with tool calling and contextual memory • Developed evaluation and grounding logic to improve response reliability • Collaborated with stakeholders to identify automation opportunities and productionize AI features • Mentored engineers and reviewed architecture and delivery quality • Delivered internal talks on agentic AI systems and won company AI hackathon for applied AI solution
Led development of sustainability analytics platform and introduced intelligent automation features for operational insights. • Built backend services, integrations, and workflows using OutSystems • Designed data pipelines and processing logic for reporting and analytics • Implemented rule-based and data-driven validation to improve reporting accuracy • Applied data analysis techniques to detect anomalies and highlight operational trends • Explored predictive and automation use cases using historical sustainability data • Worked with stakeholders to translate business requirements into scalable system features • Coordinated development tasks and guided engineers across releases
Worked on enterprise real estate platforms supporting internal operations and property management workflows. • Led Dev teams and coordinated development tasks and releases • Developed backend services and integrations for property and tenant operations • Implemented payment processing and transactional workflows • Optimized database queries and improved application performance • Automated manual operational processes for business users
Developed enterprise digital platforms and system integrations for client operations. • Built backend APIs and business workflows • Integrated external services and internal systems • Supported production deployments and enhancements
Implemented enterprise business applications and workflow automation solutions. • Developed application logic and integrations • Supported business process digitalization