Summary
Leonard Loo is an AI engineer based in Singapore with nine years of experience building production-grade speech, vision and LLM systems across startups and large tech firms. He has delivered end-to-end solutions from ASR and speaker verification to multimodal content moderation and hierarchical LLM agents, and led Talk2Grab—an audio-first assistant integrating Whisper and agent orchestration. At ByteDance and Grab he worked on sentiment/content-moderation LLMs, multilingual translation, KYC/OCR VLMs and robust deployment pipelines using Kubernetes and Airflow. His background in applied mathematics (MSc, NUS) underpins a pragmatic focus on signal processing, retrieval and scalable model monitoring. Colleagues rely on him to move research into reliable production services that handle real-world noise, fraud and multilingual edge cases. He often combines classic DSP techniques with modern transformer stacks to squeeze performance from challenging audio and OCR workloads.
9 years of coding experience
8 years of employment as a software developer
Master of Science - MS Applied Mathematics, Master of Science - MS Applied Mathematics at National University of Singapore