FJ L
@fjl
I am a lead data scientist specializing in AI-driven fraud detection.
What I'm looking for
I lead AI and data science initiatives focused on building operational, enterprise-grade systems that drive measurable outcomes. I architected an SOP-driven LLM Agent framework achieving 99.8% accuracy and platforms that automate fraud, AML, and chargeback workflows with major time savings.
I built a graph-based fraud investigation platform managing 3B+ nodes and edges, cutting investigation turnaround time by 40% and surfacing hidden networks and anomalies. I have led teams and engineering efforts—from transitioning TensorFlow 1.x to 2.0 to developing large-scale ETL, deployment, and cloud platforms—that saved millions and enabled reliable production ML at scale.
Experience
Work history, roles, and key accomplishments
Lead Data Scientist
Grab
Jan 2021 - Present (4 years 7 months)
Led architecture and enterprise deployment of an SOP-driven LLM agent platform managing 750+ resources and 200+ agents across 30+ teams and 25 Slack channels, achieving 99.8% workflow accuracy. Delivered use cases that cut AHT 45% (saving 300+ man-hours/month) and automated 87% of ATO cases, reducing handling time from 23 to 3 minutes.
Team Lead
Clinc
Jan 2019 - Jan 2021 (2 years)
Led growth of Clinc's China team delivering AI infrastructure and customer solutions for OCBC and IsBank, migrating the codebase from TensorFlow 1.0 to 2.0 to accelerate prototyping and improve model performance. Established Agile practices and testing/deployment frameworks to boost productivity and stability across distributed systems.
Co-founder & CTO
Vebits
Jan 2017 - Jan 2019 (2 years)
Co-founded and served as CTO of a Singapore startup, building a driving data platform for predictive maintenance, driver behavior improvement, and resource optimization that reduced operational costs for bus operators. Managed engineering, ML pipeline development, and delivery of analytics dashboards for operators.
Software Developer
Alibaba Group
Jan 2014 - Jan 2017 (3 years)
Built a data platform for MaxCompute, developing large-scale ETL pipelines across 50,000+ servers that saved $2M+ in operational costs and enabled ML-powered analytics and interactive dashboards. Implemented scalable Python execution, scheduling, load balancing, and fault-tolerance features.
Software Developer Intern
IBM
Jan 2013 - Jan 2014 (1 year)
Developed a cloud platform prototype using OpenStack to automate bare-metal provisioning with Cobbler and Chef, improving scalability and deployment efficiency. Built automation components to streamline provisioning workflows.
Education
Degrees, certifications, and relevant coursework
South China Normal University
Master of Science, Computer Science
Completed a Master's degree in Computer Science at South China Normal University.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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