CV

Member of Technical Staff, Researcher

OpenAI

• Conduct frontier AI research across LLM post-training, reinforcement learning, and test-time compute scaling for state-of-the-art foundation models and production-grade agents.

Senior Machine Learning Engineer

Meta

• Spearheaded large-scale end-to-end ML-powered recommender systems.
• Architected state-of-the-art ML techniques, including causal inference, model scaling and efficiency, knowledge distillation, sequence modeling, dynamic user interest modeling, contextual and multimodal representation learning, value-aware multi-objective learning, and data denoising.
• Researched next-gen ML technologies, including LLMs, reinforcement learning, reward modeling, agentic recommendations, and content quality & safety alignment.

Software Engineering Intern

Meta

• Worked on the Facebook Commerce Monetization team.
• Developed large-scale ML models in PyTorch to generate contextual embeddings of users and ads, enhancing semantic understanding and fine-grained personalization in ad retrieval and ranking systems.
• Designed and deployed representation learning frameworks for user-ad matching across multiple surfaces, significantly improving relevance and driving ad revenue growth.

Software Engineering Intern

Meta

• Worked on the AI Mobile Platform team, contributing to the development of the PyTorch platform.
• Enhanced latency profiling tools with module-level debugging. Achieved a 5x increase in runtime efficiency.
• Accelerated Conv1D and channel shuffle operations through low-level kernel optimizations for the PyTorch framework, delivering up to 10x operator-level speedup for on-device speech and NLP models.

Software Engineering Intern

Vietnam Posts and Telecommunications Group

• Developed deep learning and computer vision models to extract texts, numbers, and logos from images of bank cards, achieving 89% accuracy.
• Embedded the models in iOS and Android apps, improving the experience of 40,000 users.

Undergraduate Researcher

Stanford Artificial Intelligence Laboratory (SAIL)

• A member of the Stanford Machine Learning Group. Worked on the AI for Climate Change initiative under Prof. Andrew Ng’s supervision.
• Built large-scale data pipelines in Python, NumPy, and Pandas to ingest, align, and preprocess satellite imagery and global forest loss driver labels. Implemented advanced data augmentation and stratified sampling techniques to improve signal diversity and model robustness across diverse geographies.
• Designed and trained deep learning models in PyTorch, including CNNs, LSTMs, and multimodal fusion architectures, to classify forest loss drivers from multi-temporal satellite imagery, achieving 80% classification accuracy and supporting scalable environment monitoring.

Undergraduate Researcher

Computer Science Research Lab

• Researched model compression techniques, including structured pruning, regularization-based sparsity, and weight quantization, to reduce the computational footprint of deep convolutional networks.
• Applied regularization and pruning strategies to ResNet, achieving a 15% reduction in FLOPs with a 2% improvement in accuracy, demonstrating efficient compression without performance trade-offs.

B.S. in Computer Science (AI Specialization)

Stanford University

• Graduated with Distinction (Summa Cum Laude).
• CS Coursework: Machine Learning, Deep Learning, NLP, LLMs, Reinforcement Learning, Computer Vision, NLU, Spoken Language Processing, Information Retrieval, Data Mining, Graph ML, Data Structures & Algorithms, Parallel Computing, Systems, Web Applications.
• Math Coursework: Linear Algebra, Probability & Statistics, Convex Optimization, Calculus & Real Analysis, Graph Theory, Game Theory.

Phi Beta Kappa Award

Stanford University

Frederick Emmons Terman Engineering Scholastic Award

Stanford University

Top 50

William Lowell Putnam Mathematical Competition

Bronze Medal

International Mathematical Olympiad

Gold Medal (Rank #1)

Vietnamese Mathematical Olympiad

Gold Medal

American Mathematics Competition

Gold Medal

International Mathematics Local Tournament

Silver Medal (Rank #2)

Vietnamese Mathematical Olympiad

Gold Medal

Regional Mathematics Competition

Gold Medal

Nam Dinh Province Mathematics Competition

Gold Medal

High School for Gifted Students Olympiad

Gold Medal

Hanoi Open Mathematics Competition

Research Scholarship

National Program for Development of Mathematics

Software Development Fellow

Stanford TreeHacks

• Developed a web application that allowed 2,000 hackers to create profiles, propose project ideas, browse the list of other participants, make connections, explore challenges, filter projects, and form teams. Used JavaScript, MongoDB, Express.js, React, Node.js, HTML, and Sass.
• Deployed the website using Heroku and AWS.
• Collaborated with a tech team of 3 software engineers on product development.

Mobile App Developer

Ronald McDonald House Charities

• A member of the Develop for Good program. Worked with 3 software developers and 1 product designer.
• Built a mobile application in JavaScript and React Native that provided contact information, check-in, daily events, maps, FAQs, and COVID-19 screening, supporting 130 local families daily.

Web Developer

The Stanford Daily

• Built front-end components in TypeScript, React, HTML, CSS, and Next.js to enhance the responsiveness, content organization, and navigation design of article webpages, serving 1,000 readers daily.
• Adopted the Agile project management methodology.

Software Developer

Tarjimly

• A member of the Code the Change program. Collaborated with 4 software engineers.
• Implemented programs in Python, Java, and SQL to process data from server and filter 18,000 translators across 32 languages based on the daily requests of 21,000 users.
• Performed data analytics using NumPy, Pandas, Matplotlib, and Seaborn to gain insights into the effectiveness of the mobile app.
• Designed machine learning algorithms and pipelines using Scikit-learn, Pandas, and MLflow to optimize the process of matching users with translators, reducing the average wait time to 2 minutes.

Student Researcher

Vietnam Summer School in Research

• Attended academic lectures on international finance, macroeconomics and economic decision making with machine learning.
• Collaborated with a team of 5 members to study Thailand’s financial crisis and determine the effects of exchange rates on trade balances.
• Implemented machine learning, statistical and econometric models in Python, R and Stata.

Data Science Intern

ViCare Corporation

• Analyzed daily statistical data of 2 million customers, assisting managers in sales and marketing decisions.
• Developed tools to automate data cleaning, analysis, and visualization, speeding up the data analytics pipeline by 10x.

IMO Mathematics Coach

Nam Dinh Mathematical Olympiad Team

• Coached teams of 30+ members from Le Hong Phong High School on strategies to tackle advanced olympiad-level Math problems.