Summary
Ha Le is a Machine Learning Engineer with 10 years of experience specializing in computer vision, multimodal learning, and distributed ML deployment, currently at Meta after roles at Amazon and Wyze. He combines deep research credentials (PhD) with hands-on engineering—building large-scale video search, face recognition optimized for cloud–edge collaboration, and fine-tuned vision-language copilots that cut processing time and labor in fulfillment centers. Ha has a track record of improving model performance and lowering costs through quantization, pipeline optimization, and production monitoring across the ML lifecycle. Equally comfortable in low-level systems work (early career reverse engineering and C/assembly tooling) and high-level VLM/MLLM research, he bridges academia and product engineering to deliver robust, scalable solutions. Based in Kirkland, WA, he brings pragmatic leadership of cross-functional teams and a knack for turning complex multimodal research into operational systems.
10 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Houston
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Hanoi University of Science and Technology
Master's degree Computer Science, Master's degree Computer Science at Chonnam National University
Vietnamese, English, Korean