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.
10 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