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AI Developer

ChessMind AI

• Developed an AI Chess Coach using Generative AI and expertise from a chess grandmaster to enhance player skill acquisition and strategic decision-making.
• Designed an agentic AI workflow using LangChain and LangGraph to retrieve chess concepts from an expert-curated dataset, increasing model retrieval accuracy by 36%.
• Integrated an interactive LLM-based grading module into the AI Chess Coach product, providing personalized feedback that enhanced user experience and increased engagement by 25%.
• Optimized Large Language Model (LLM) responses through few-shot learning and chain-of-thought prompting, minimizing hallucinations and achieving over 99% semantic similarity accuracy.
• Documented and maintained a comprehensive GitHub codebase, including unit testing and automation scripts, reducing pipeline debugging and deployment time by 40%.

Data Science Intern

Duke University School of Medicine

• Transformed 10 years of unstructured biomedical data into a structured database (5K+ mRNA sequences) using SQL and Pandas, enabling scalable predictive modeling for antibody production.
• Collaborated with a cross-functional team to engineer 35 mRNA structural features by devising statistical formulas and implementing custom Python functions, improving model performance by 75%.
• Developed, fine-tuned, and validated tree-based models (XGBoost, Random Forest) with scikit-learn, achieving 90% predictive accuracy and reducing runtime by 48%.
• Conducted feature importance analysis to identify five key mRNA properties that improved yield predictions, driving cost savings of tens of thousands of dollars.
• Authored a technical report on model performance and business impact, selected from 50 candidates to present to 200+ attendees at the Duke CFAR Retreat 2024.

Assistant Researcher

Vietnam Academy of Science and Technology

• Proved the practicality of the bootstrap method for goodness-of-fit testing using estimator properties; presented findings to 25 researchers and secured a significant grant from VinIF Vietnam.
• Led a weekly Bayesian Statistics seminar for 30+ students on simulation & optimization, including live R coding on topics such as Bayesian Regression, Gibbs Sampling, and Hierarchical Modeling.

Master's in Statistical Science

Duke University

• Predictive Modeling, Deep Learning, Causal Inference, Statistical Computation, R Programming, SQL, Bayesian Statistics, Theory of Inference, Hierarchical Models, Applied Machine Learning.

Bachelor's in Mathematics

Hanoi National University of Education

• One and Multivariable Analysis, Functional Analysis, Linear Algebra, Complex Analysis, Measure Theory, Optimization Theory, Introduction to Probability Theory, Statistics, Ordinary and Partial Differential Equations, Numerical Analysis.

Duke Graduate Full Tuition Remission and Teaching Assistantship

Duke University

Full Graduate Tuition Remission and Teaching Assistantship.

The Vingroup Science & Technology Scholarship Program for Master's and Doctoral Degrees

VinGroup Vietnam

Top 1% of applicants nationwide to receive the scholarship for the academic years 2023-2025.

HNUE Graduation: Summa Cum Laude

Hanoi National University of Education

Top 5% of undergraduate students in the class of 2018. Dean's List with Distinction (4 years).

Vietnam National Mathematics Scholarship

Vietnam Ministry of Education and Training

Top 1% of undergraduate mathematics majors nationwide for the academic years 2016-2017.