Singapore
AI/software engineer with experience building and deploying ML, RAG, and industrial IoT systems. My recent work spans semantic retrieval for RAG workflows, ML inference services, computer vision models, FastAPI backends, Docker-based deployment, CI/CD, MLflow, AWS/EKS, Snowflake, and production runbooks. Before moving into AI, I worked in industrial automation and IoT, delivering factory and energy-sector deployments involving Modbus, MQTT, PLC integration, secure remote access, and onsite troubleshooting. I'm most interested in production AI systems: turning models, retrieval pipelines, and automation workflows into reliable software that users can actually adopt.
Building knowledge graphs and ontologies, semantic document chunking, and retrieval evaluation for enterprise RAG, improving retrieval recall by 16%
Fine-tuned DINOv3 for geospatial segmentation (83% IoU, +23 pts over baseline), served via FastAPI, Celery, Redis, Docker, and MLflow.
Designed and deployed custom IoT integrations for BESS and industrial monitoring, saving S$50K in integration cost per deployment.
Scoped IIoT solutions with manufacturers and built machine-connectivity demos capturing live factory data into dashboards.
Delivered IIoT pilots across Southeast Asia end-to-end, building brownfield connectivity with OPC UA, Siemens S7, and gateways.
Built industrial IoT prototypes and delivered hands-on IoT training to industry professionals.