Hi, I'm Brandon!

I'm a junior in Columbia University, studying computer science and entrepreneurship. I love building projects with people - if you're interested, please connect here.

Work Experience

Columbia Engineering

Teaching Assistant

Currently a TA for the User Interface Design course, responsible for conducting weekly office hours, evaluating assignments, and answering student questions on class discussion board

Skills learned: Mentorship, communication

FluidityIQ

Software Engineering Intern

At FluidityIQ, I evaluated vectorizer models for patent claims, built a patent dataset, enabled multi-user functionality for the chat API, and deployed to production

Skills learned: Langchain, Azure
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Capco

Software Engineering Intern

Improved Commerce Bank's website using RESTful APIs and SQL. Fixed bugs in user permissions and automated test data creation with Python. Presented to 30+ executives

Skills learned: Python, Java
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Arrow Electronics

Machine Learning Intern

Implemented 4 ML models to predict the lifespan of electronic parts and presented the results to 20+ executives. Also developed 8 ML models with AWS to forecast raw material prices

Skills learned: ML, AWS
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Artaic

Software Engineering Intern

I worked on an image processing project for Artaic's mosaics, training a YoloV5 model with 900 tile images, achieving 100% accuracy at 90% confidence

Skills learned: Computer vision




Projects & Activities

Beetcode

Co-Founder

Made a browser extension that provides hints for Leetcode problems. Reached 200+ users! If you're interested, please try it here

Skills learned: Full stack dev, MongoDB

CORE

Almaworks Director

In the Almaworks Accelerator, we've paired 30+ Columbia student founders with industry mentors & VCs. We've hosted five Demo Day events, enabling the startups to present and network.

Skills learned: Networking, entrepreneurship
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Columbia Spectator

Head of Product

I managed 3 of Spectator's products: CULPA, theSHAFT, and the mobile app. We interviewed students, designed new features, and worked with Engineering to implement them.

Skills learned: Product design, management

Columbia Robotics

Software Member

Worked in the Pacbot team for Columbia Robotics, fine-tuned the A* pathfinding algorithm and implemented Q-learning for navigation

Skills learned: Control algorithms, reinforcement learning



Other Work


My other projects and hobbies include research, robotics, and teaching. Visit my Projects page to see more!