Bio
Vice President · AI ML Lead
JPMorganChase
I specialize in artificial intelligence and machine learning research and enterprise application, currently serving as Vice President · AI ML Lead at JPMorganChase (JPMC). Previously, I was a Staff Research Scientist at the IBM Thomas J. Watson Research Center in Yorktown Heights, NY. I received my PhD in Operations Research from the Department of Statistics and Operations Research at the University of North Carolina at Chapel Hill.
My work centers on Large Language Models (LLMs) for enterprise data management applications, with a specialized focus on building end-to-end Text-to-SQL systems. During my tenure at IBM, I was a key contributor to NL2Insights, an automated pipeline powering flagship products including watsonx.data intelligence, BI Assistant, and Process Mining. This system successfully generated over 200,000 SQL queries across 1,000+ databases at enterprise scale, enabling multilingual Text2SQL capabilities across all IBM Cloud and AWS regions. I also continue research on stochastic optimization methods for machine learning, deep learning, and reinforcement learning.
Vice President · AI ML Lead
JPMorganChase
New York City, NY
Staff Research Scientist
IBM Thomas J. Watson Research Center
Yorktown Heights, NY
Research Scientist
IBM Thomas J. Watson Research Center
Yorktown Heights, NY
Machine Learning Intern
Blue River Technology
Sunnyvale, California
Research Intern
IBM Thomas J. Watson Research Center
Yorktown Heights, NY
Graduate Research Assistant & Graduate Teaching Assistant
University of North Carolina at Chapel Hill
Chapel Hill, NC
Ph.D. in Operations Research
Department of Statistics and Operations Research
University of North Carolina at Chapel Hill · Chapel Hill, NC, USA
Graduate Study in Computer Engineering
Department of Computer Science and Engineering
University of Nevada, Reno · Reno, NV, USA
Bachelor of Engineering (Honor Program) in Computer Engineering
Department of Computer Science and Engineering
Ho Chi Minh City University of Technology · Ho Chi Minh City, Vietnam
IBM Outstanding Technical Achievement Award: For NL2Insights Impacting Products and Clients
Production Impact: Enabled multilingual Text2SQL capabilities across all IBM Cloud and AWS regions
IBM Growth Award: For advancing Text2SQL service within watsonx.data intelligence
IBM Outstanding Technical Achievement Award: For achieving first place on the BIRD leaderboard
Multiple IBM Research Accomplishments: For NL2Insights product adoption and BIRD leaderboard success
#1 on BIRD Leaderboard: Led IBM Granite Text-to-SQL models to first place in both tracks of the prestigious BIRD benchmark, outperforming larger models like GPT-4 and GPT-4o
Fine-tuning, prompt engineering, reasoning systems, RAG (Retrieval-Augmented Generation)
Python, TensorFlow, Keras, PyTorch, Scikit-learn, C/C++, MATLAB
Deep learning, reinforcement learning, federated learning, optimization algorithms
SQL, Text-to-SQL, schema linking, query optimization
Production deployment, scalability, safety & security, multilingual systems