Hi, I'm David
Computational & Mathematical Engineering @Stanford University
About
I'm a Computational & Mathematical Engineering student at Stanford University with a passion for machine learning, artificial intelligence, and software engineering. Currently pursuing a B.S. in Computer Science & Mathematics and an M.S. in Computational & Mathematical Engineering, I combine theoretical knowledge with practical application in my work and research.
My experience spans software engineering, machine learning, signals research, and AI applications across various domains. I enjoy tackling complex problems and building solutions that make a meaningful impact. When I'm not working, you can find me playing basketball or on the golf course.
Education
Stanford University
B.S. Computer Science & Mathematics
M.S. Computational & Mathematical EngineeringGPA: 4.0
Relevant Coursework:
Machine Learning, Artificial Intelligence, Reinforcement Learning, Deep Learning w/ Computer Vision, Continuous Mathematical Methods w/ ML, Data Structures & Algorithms, Probability & Stochastic Differential Equations, Decision Making under Uncertainty, Applied Matrix Theory, Real Analysis, Natural Language Processing
Work Experience
Meta
Software Engineering Intern
Databricks
Software Engineering Intern
Gatsby TV
Full-Stack Software Engineering Intern
Linea Energy
Technical Product Management Intern
Stanford Facilities Energy Management
Machine Learning Engineering Intern
Research Experience
Stanford Systems Utilization Research for Stanford Medicine (SURF)
Research Assistant
Stanford Institute for Human-Centered AI (HAI)
AI Engineering Research Assistant
Projects
Orientavida: Uplifting Seamstresses in Brazil Through Software
January 2025 - June 2025Engineered communication analytics hub for Orientavida NGO via custom WhatsApp API server, increasing seamstress engagement by 24% and streamlining project oversight through AI, reducing manual overhead by 28%.
CS 229 Machine Learning Model: NBA ML Model
September 2024 - December 2024Designed ML framework leveraging multi-model predictions, SVR & 2-layer NN to forecast NBA player rebounds. Achieved 56.93% accuracy and a 25.96-unit profit in 2024–2025 NBA season testing.
CS 231N Deep Learning Paper: Shot Tracking Model
April 2025 - June 2025Authored Deep Learning CV paper (>80% accuracy) utilizing Media Pipe & CNN-LSTM to analyze shooting form.
CS 234 Reinforcement Learning: Gobblet RL
January 2025 - April 2025PPO and MCTS Reinforceement Learning methods for Gobblet Turn-based Game achieving 93% win rate.
CS 238 Reinforcement Learning Model: Medical Diagnosis Algo
September 2024 - December 2024Developed Q-learning RL paper (91.4% accuracy) assisting medical diagnosis using patient response & question data.
Cardinal Fuel
2023Stanford University Dining Hall Meal Planner that provides students with nutrition information about daily dining hall menus. Students can customize their virtual plates, set calorie goals, and know the calories, carbs, fats, and proteins in their meals.
Coup Reinforcement Learning Bot
2023CS 221: Artificial Intelligence: Principles and Techniques Final Project. Built and tested a reinforcement learning bot (74% win rate) for the board game Coup using TD/Q-Learning algorithms.
AI Chatbot
2023CS 124: From Languages to Information Final Project. Created an interactive AI Chatbot with recommendation capabilities using advanced NLP and prompting techniques.
VSee Health App
2023CS 52: CS for Social Good Final Project. Created an app for healthcare workers in the Philippines to analyze and visualize weather and air quality sensor data for 50+ rural areas.
Trading Algorithms
2022Python algorithms for stocks and crypto using the Alpaca API. Features median moving averages and social sentiment analysis.
Sentiment Analysis
2022Evaluates Twitter data to determine social sentiment of relevant stocks/crypto.
CS80E: Dissecting the Modern Computer
2022Assembly project in RISC-V of an LED light and counter interface and a memory allocator software model of a 1-level MSI cache.
Skills & Tools
Python
C++
C
React
HTML
CSS
JavaScript
SQL
Flask
Docker
AWS Kubernetes
AWS
PyTorch
NumPy
Pandas
Leadership & Awards
Leadership
MathWorks – Stanford MATLAB Student Ambassador
October 2023 – September 2024
Coordinated Stanford MATLAB initiative to support 1500+ students and 15+ student projects in data hackathons
Stanford Energy Club – VP of Projects + VP of Alumni Engagement
October 2023 – present
Facilitated program connecting 150 interdisciplinary students to 9 energy internships; expanded SEC Projects by 18%
Awards
Susquehanna International Group Discovery Day Fellow: Quantitative Trading
April 2024
BNP Paribas Opportunity Summit Fellow: Technology
March 2024
Machine Learning Certification Stanford Online
August 2020
Contact
Feel free to reach out to me for any inquiries or opportunities.