.
Recent Work
VIEW
(Current) Project
Model Chess Engine with NNUE Evaluation
Inspired by and trained on Stockfish-16, this project is a model chess engine utilizing minimax search with alpha-beta pruning and an NNUE (Yu Nasu, 2018) architecture as the evaluation function.
VIEW
(Current) Article
An Intuitive Look Into Normalizing Flows Architectures
A presentation of the intuition behind normalizing flows and their use in implementing modern architectures such as NICE (Dinh et al., 2015) and GLOW (Kingma and Dhariwal, 2018).
VIEW
Project
Reinforcement Learning Pacman AI
A single-agent reinforcement learning project utilizing a Dueling Deep Q-Network (DDQN) architecture to play Atari's "Ms. Pacman" in OpenAI's Gym. An epsilon-greedy strategy is used for balancing exploration and exploitation.
VIEW
Project
Spotify Color Sorter
A locally run application to sort personal Spotify playlists by song album cover colors. Utilizes the Spotify Web API and OAuth 2.0 system to securely access only user playlist data. Does not track any data.
VIEW
Project
Kaggle Contest - Store Sales Time Series Forecasting
A "sequence-to-one" Transformer model based on the "Attention is All You Need" (Vaswani et al., 2017) architecture for forecasting retail sales time series at Corporacion Favorita, an Ecuadorian retailer.
VIEW
(MOCK) RESEARCH PAPER
LSTMs vs Transformers for Time Series Forecasting
This mock research paper is an investigation into comparing the effectiveness of Long Short-Term Memory (LSTM) and Transformer models for time series forecasting.