Summary
Son Pham is a researcher and AI engineer with 11 years of experience, specializing in applied machine learning, large language models, and cloud-native systems. He has delivered production improvements such as halving response latency in a real-time LLM audio chat and building a CV extraction pipeline with an F1 of 0.85, and created a 500k+ synthetic Vietnamese legal-query dataset that boosted retrieval accuracy when used for fine-tuning. Comfortable bridging research and engineering, he has deployed models to Hugging Face, implemented robust validation to reduce hallucinations, and engineered data migrations at scale using AWS Step Functions and Lambda. Based in Hà Nội and studying Data Science & AI at HUST, Son combines rapid learning and strong problem solving with a practical focus on scalable, societally impactful solutions.
11 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Data Science and Artificial Intelligence, Bachelor's degree, Data Science and Artificial Intelligence at Hanoi University of Science and Technology