I'm a rising junior in Columbia University, studying computer science and entrepreneurship.
I love building projects with people - most recently I made a chrome extension to provide hints for Leetcode problems.
If you're interested in talking about tech, please contact me via email.
Thank you!
Currently working at a startup for intellectual property (IP). Exploring how to use Gen AI for patents.
Skills learned: Bert Models, Azure
Made a browser extension that provides hints for Leetcode problems. Currently we have 200+ users! If you're interested, please try it here
Skills learned: Full stack dev, MongoDB
In the Almaworks Accelerator, we've paired 12 Columbia student founders with industry mentors & VCs. We've hosted 3 Demo Day events, enabling the startups to present and network.
Skills learned: Networking, entrepreneurship
I recently joined the Pacbot team in Columbia Robotics, where I've
fine-tuned the A* pathfinding algorithm and implemented Q-learning for navigation
Skills learned: Control algorithms, reinforcement learning
I improved the code for Commerce Bank's website using their RESTful APIs and SQL. I fixed bugs in the user permissions service and
automated test data creation using Python. I presented to 30+ senior executives and developers.
I also clustered users for the stock recommendation project and resolved JSON errors for the consent & preference project.
I worked on an image processing project to identify correct tile placement for Artaic's mosaics.
I collected 900 tile images and used them to train a YoloV5 model. The model predictions were 100% correct, with 90% confidence.
I also created a map of Artaic's mosaics using the Google Maps API and WP Go Maps.
I implemented 4 ML models to predict the end life of electronics parts, and presented my results to 20+ Arrow executives and salespeople.
I also implemented 8 ML models with AWS to predict the raw material prices for electronics.
