Fiat Lux & Go Bears!

Nice to meet you!
I'm Alex 🚀 🇺🇸

I'm a junior at UC Berkeley pursuing a simultaneous degree in Statistics and Economics with a minor in Electrical Engineering & Computer Science, 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!

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About

Alex Le
Alex Le
Alex Le
Alex Le
Alex Le

Education

B. A. - Statistics and Economics

Minor in Electrical Engineering & Computer Science
University of California, Berkeley
Aug 2025 - May 2027

Skills & Interests

Languages

Python, C++, Java, OCaml, TypeScript, JavaScript

Data & ML

NumPy, Pandas, TensorFlow, Selenium, Bloomberg Terminal, Jupyter, Tableau

Design & Visualization

Figma, Canva, iMovie, Procreate, Blender, Matplotlib

Interests

Agentic AI, Quantitative Finance, Competitive Programming, Chess, Rubik's Cubing

Awards & Honors

3rd Place - Aggie Competitive Programming Contest

UC Davis (ACPC) Annual Competition
2023

Secured 3rd place in the annual competitive programming competition held at UC Davis, demonstrating strong algorithmic problem-solving skills.

Research Presentation - Bay Honors Symposium

The Hero's Journey through Water Myths and Postcolonial Theory
2025

Presented original research exploring the intersection of mythology, postcolonial theory, and environmental narratives through analysis of Daodejing, Mayan Popol Vuh, and New Testament texts.

Market Overview

I'm interested in finance so I made a tracker keep tabs on some securities!

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Professional Experience

My work bridging technology, policy, and innovation

Chief Technology Officer

BioStrive
November 4, 2025

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.

Digital Infrastructure Intern

California Volunteers, Office of the Governor
October 2023 - April 2025

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.

Data Science Intern

Intel Corporation
June 2022 - September 2022

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.

CyberSentinel Challenge

Department of Defense (now DoW)
May 2024

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.

NASA Community College Aerospace Scholar

National Aeronautics and Space Administration
May 2021 - September 2022

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.

Genomics Research Internship Program at Stanford (GRIPS)

Stanford University School of Medicine
June 2017 - August 2017 · 3 mos

Participated in the Genomics Research Internship Program at Stanford (GRIPS), a summer internship program bringing computational genetics and genomics opportunities to Bay Area high school students. Worked in Atul Butte's Lab, gaining hands-on experience in computational biology and genomics research.

Stanford Institutes of Medicine Summer Research Program

Stanford University School of Medicine
June 2016 - July 2016 · 2 mos

Participated in the Stanford Institutes of Medicine Summer Research Program (SIMR), working as a Bioengineering Team Intern. Gained experience in biomedical research and engineering applications in a cutting-edge medical research environment.

Stanford Medical Youth Program

Stanford University School of Medicine
June 2015 - July 2015 · 2 mos

Participated in the Stanford Medical Youth Program apprenticeship, working in Atul Butte's Lab on research investigating CD47 T-cell environment specific factors and oncogene expression. Gained foundational experience in medical research and computational biology.

Officer

Computer Science Undergraduate Association
UC Berkeley

Serve as an officer in UC Berkeley's largest CS student organization, helping students navigate their academic and career journeys through office hours and mentorship.

Avionics and Business Team Member

Space Enterprise at Berkeley
UC Berkeley

Contribute to SEB's mission to become the first collegiate team to send a rocket to space, working on cutting-edge aerospace technology in avionics and business development.

Problem Writer and Logistics Team

CALICO Informatics Competition
UC Berkeley

Develop competitive programming problems and manage logistics for UC Berkeley's premier informatics competition, ensuring smooth execution of the annual event.

Proctor & Grader

Berkeley Math Tournament
UC Berkeley

Graded GUTs round and hosted various math events on competition day, supporting UC Berkeley's annual mathematics tournament operations and ensuring fair competition standards.

Writing

My thoughts on technology and data science

December 2024 Data Science

The Future of Predictive Analytics in Government

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.

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November 2024 Technology

Building Automated Systems That Actually Work

After 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.

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October 2024 Career

From NASA to Silicon Valley: Lessons in Innovation

Having 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.

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Videos

My educational videos on data science and programming

Cryptography with Linear Algebra

YouTube
Educational Content

Implementing a linear algebra-based cipher in C++. This tutorial covers advanced cryptographic techniques using mathematical foundations to create secure encryption algorithms.

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More Videos Coming Soon

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!

Featured Projects

My work in data science, automation, and technology

Automated Web Scraping & Data Cleaning

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.

Python Selenium Cron Automation

Predictive Model for Consumer Demand Trends

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.

Python SARIMAX XGBoost Time Series

NASA Aerospace Research

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.

Aerospace Research Chemistry NASA

Emporia Multi-PDF Processing API

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.

FastAPI Azure AI Python AsyncIO
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Contact

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 :)

legendare@berkeley.edu (650) 798-9063 LinkedIn X GitHub YouTube