My Projects

SK-GPT

Implemented ChatGPT from scratch using neural networks with custom backpropagation and gradient descent algorithms.

TensorFlow, Python, Neural Networks

May 2025 – Present

Created a Convolutional Neural Network (MobileNetV2) using transfer learning to classify preprocessed images scraped from Reddit via PRAW.
Achieved 80% validation accuracy distinguishing couples as either siblings or dating through hyperparameter tuning.

TensorFlow, Keras, Python, CNN, Django

March 2025

Pioneered a python-based market making quantitative trading framework integrating nonlinear optimization and stochastic modeling.
Implemented reinforcement learning to dynamically synthesize adaptive market intelligence.

Python, Reinforcement Learning, Nonlinear Optimization

August 2024

Used a Monte Carlo counterfactual regret minimization algorithm to approximate a Nash Equillibrium strategy for a 2-player Khun's poker game.

Python

June 2024 – July 2024

Built a web app for rating landlords and property management, adhering to Scrum methodology with a team of 5 other developers through sprints and weekly meetings.

Django, PostgreSQL, Heroku, AWS S3

Jan 2024 – Present

Constructed a Convolutional Neural Network (CNN) to detect Coccidiosis signs in chicken images, with the use of over 1000 labeled images.

Python, TensorFlow, Azure

Jan 2024 – March 2024

Created using Python and Jupyter Notebook with libraries like Numpy, sci-kit-learn, pickle, and requests.
Integrated TMDB API for data retrieval, including plot summaries, genres, and ratings from over 5000 movies.

Python, TensorFlow

Sept 2023 – Dec 2023

Lead developer of the website, utilizing React and Next.js.
Leveraged a mix of the Perplexity LLM and Node.js modules such as discord.js and Puppeteer.
Use of citation-machine to create optimal citations from an input of text.

React, Next.js, Node.js, JavaScript, HTML, CSS

Mar 2024 – Mar 2024

Detects names, cities, states, and countries from given sentences.
End-to-end development of a robust NER application leveraging the Stanford CoreNLP.

Java, Spring Boot

Nov 2023 – Dec 2023

Developed a Monte Carlo simulation-based pricing model for European vanilla options in C++using risk-neutral pricing, Geometric Brownian Motion, and the Box-Muller algorithm, achievingresults closely matching Black-Scholes solutions.

C++

May 2024 – June 2024

Developing and researching models to predict diabetes using extensive blood test data and other methods.

PyTorch

August 2024 – Present