Fiat Lux & Go Bears!
I'm a junior at UC Berkeley studying Economics & Statistics with an EECS minor, graduating May 2027. I've also worked with California Volunteers, NASA, Intel, and competed in DoD cybersecurity challenges. Here I write about tech and I create YouTube videos about STEM, finance, and philosophy!
I'm pursuing an intended double major in Economics & Statistics with a minor in Electrical Engineering and Computer Sciences! I love hackathons, petting cats, cooking, and solving interesting puzzles.
Python, C++, Java, OCaml, TypeScript, JavaScript
NumPy, Pandas, TensorFlow, Selenium, Bloomberg Terminal, Jupyter, Tableau
Figma, Canva, iMovie, Procreate, Blender, Matplotlib
Agentic AI, Quantitative Finance, Competitive Programming, Chess, Rubik's Cubing
I serve as an officer in UC Berkeley's largest CS student organization, helping fellow students navigate their academic and career journeys.
Learn More →I contribute to SEB's mission to become the first collegiate team to send a rocket to space, working on cutting-edge aerospace technology.
Learn More →I contribute to the development of competitive programming problems and manage logistics for UC Berkeley's premier informatics competition.
Visit CALICO WebsiteI support UC Berkeley's annual mathematics tournament, helping with event coordination and ensuring smooth competition operations.
Visit BMT WebsiteSecured 3rd place in the annual competitive programming competition held at UC Davis, demonstrating strong algorithmic problem-solving skills.
Presented original research exploring the intersection of mythology, postcolonial theory, and environmental narratives through analysis of Daodejing, Mayan Popol Vuh, and New Testament texts.
I'm interested in finance so I made a tracker keep tabs on some securities!
My work bridging technology, policy, and innovation
Leading the development of Emporia, a generative AI platform that builds claim matrices for pharmaceutical and MedTech companies. Architecting the technical infrastructure and AI systems that enable pharmaceutical and medical technology companies to efficiently generate and manage claim matrices for their products.
Working on digital infrastructure projects that support volunteer coordination and community engagement across California. Built automated data processing tools using Python and Selenium to handle volunteer participation data, reducing manual processing time by 75% and improving data accuracy.
Developed machine learning models and data analysis pipelines for semiconductor manufacturing processes. Applied statistical methods using SARIMAX and XGBoost to optimize production efficiency and quality control systems, achieving 15% improvement in forecasting accuracy.
Competed in DoD (now DoW)-sponsored cybersecurity competition hosted by Correlation One, solving complex challenges in cryptography, steganography, network security, and digital forensics. Applied advanced problem-solving techniques to decrypt encoded messages and identify security vulnerabilities within time-constrained scenarios.
Conducted student research on Ionic Liquid Sorbents with a team of NASA scientists and chemical engineers at Armstrong Flight Research Center, advised by NASA CFO Frank M. Ramos. Gained hands-on experience in aerospace research and development.
My thoughts on technology and data science
Government agencies are sitting on vast amounts of data that could transform how they serve citizens and make policy decisions. From forecasting demand for social services to optimizing resource allocation, predictive analytics has the potential to make government more efficient, responsive, and effective.
Read MoreAfter working on data processing pipelines that handle millions of records daily, I've learned that the key to building automated systems isn't just writing code that works—it's creating systems that are maintainable, reliable, and can adapt to changing requirements over time.
Read MoreHaving worked on aerospace research at NASA and data science projects in Silicon Valley, I've been struck by the similarities between these two worlds. Both require rigorous problem-solving, interdisciplinary thinking, and the ability to work with complex systems under constraints.
Read MoreMy educational videos on data science and programming
I'm working on creating more educational videos about cryptography, programming, and technology topics.
Coming soon: Advanced cryptography algorithms, C++ optimization techniques, and cybersecurity tutorials!
My work in data science, automation, and technology
Automated data cleaning and form testing using Python and Selenium. Implemented error handling and scheduling with cron for weekly data updates, processing thousands of records efficiently and reliably.
Built a forecasting solution leveraging SARIMAX and XGBoost for time series modeling of aggregated sales, inventory, and demand data. Achieved significant improvements in prediction accuracy for supply chain optimization.
Conducted research on Ionic Liquid Sorbents with NASA scientists and chemical engineers. Gained hands-on experience in aerospace research and development, contributing to cutting-edge space technology projects.
Built a FastAPI endpoint that processes 10-15 PDFs simultaneously using Azure Document Intelligence. Features drag-and-drop interface, real-time processing with concurrency control, and consolidated markdown output. Handles up to 20MB per PDF with sub-3-minute processing time.
I'd love to learn more about exciting new oportunities!
⚠️ Warning for spammers: I'm a trained offensive security worker who has competed in government cybersecurity competitions and will vet all inquiries :)