C-RECS
A novel approach to train Conversationl Recommender Systems
I’m a curious and driven Master’s student at UT Austin, specializing in Machine Learning and Data Science within Electrical and Computer Engineering. Currently, I’m machine learning engineer at Synthefy working on time-series diffusion models. I’m passionate about reinforcement learning and natural language processing fields where I get to combine optimization with creative problem-solving to tackle real-world challenges.
Here are some of my projects that I have worked on. Feel free to click on the images or title to learn more.
A novel approach to train Conversationl Recommender Systems
A novel approach to Semantic segmentation for point clouds from a 3D lidar dataset and 2d cityscape dataset.
An image re-identification application from a clothing dataset
A novel approach to fine-tuning diffusion models using hindsight experience replays
A fine-tuned a Llama 2 model to solve complex rational NLI tasks.
A web application for a Hardware-as-a-Service (HaaS) system.
A web application designed to provide personalized financial advice and investment strategies based on your current financial situation and goals.
A library management system that involves various items you would find in a library such as a book or movie and allow for clients to check in and out these items.
A high-frequecny trading algorithm designed for the Redy Trader Go competition hosted by Optiver
A Reinforcement Learning Competition for the UT Machine Learning & Data Science Club.
A simulation of the online Cat Trap game utilizing C and assembly languages on a TM4C board.
Let me know if there are any questions, or comments on my projects or
potential work to collaborate on.
Open to Connect!