Anime TrVAE

• TensorFlow
• Keras
• OpenCV
• Pillow
• Scanpy
• Hugging Face
• Slurm

Computer Vision model that converts realistic face to anime portraits, and vice versa

DETAILS:

• Implemented a Transfer Variational Autoencoder, with datasets from Hugging Face, Google Cartoon Set, and the CelebA dataset, for bidirectional image transfers across Anime, Cartoon, and Realistic classes
• Trained custom TensorFlow models on 150,000 images across 3 different classes in GPU Cluster environment with Slurm

Some Context, Please?

• TensorFlow
• Keras
• PRAW
• Streamlit

Sarcasm Detection model that utilizes the context of a message

DETAILS:

• Developed and deployed a Sarcasm Detection web application utilizing 2D-input Basic and LSTM Keras Sequential models, achieving 96.7% same-distribution test accuracy
• Improved existing sarcasm detection methods by incorporating contextual information from comments paired with the title of the post they responded to, resulting in more accurate predictions
• Collected and processed data from the r/politics subreddit using the Python Reddit API Wrapper (PRAW), extracting more than 2,200 sarcastic comments for training the model as well as generating 2,000 more with the GPT-3.5 Large Language Model

NotifAI

• Cohere
• Flask
• PythonAnywhere
• Android Studio
• Expo

An LLM-powered Note-taking tool that assists users with understanding textbook material

DETAILS:

• Collaborated with two other team members to complete the entire developmental process within one week and meet the submission deadline for a Cohere AI Hackathon
• Employed Cohere AI's word embeddings, by way of a custom API making use of the Cohere embedding model, to enable text summarization and the extraction of main ideas

Intro to Data Science Final

• NLTK
• scikit-learn
• Tkinter
• Keras
• Matplotlib

A Data Science project focusing on video games. Includes a game recommendation application along with a genre prediction model

Research Questions:

1. Is there a significant difference in the mean meta score and user score between the platforms and the top 20 genres?
2. Can we predict user scores from meta scores?
3. What does the battle between PlayStation and Xbox look like? Who wins based on popularity and mean meta score and user score?
4. Can we build a recommendation system from key words in the game description?
5. Can we predict the genre of a particular game based on key words in the game description

Anime Recommendation

• scikit-learn
• Pandas
• NumPy

An Anime recommendation system that works without the use of Machine Learning

DETAILS:

• Developed a system for predicting which anime a user would like based on similar anime or similar users
• Preprocessed over 17,000 different anime series to obtain 80 columns of numerical values
• Utilized a simple cosine similarity calculation to make recommendations
• Awarded 1st place in Hack Research 2022 hackathon sponsored by Major league Hacking and GitHub

Obsidian PKM System

• YAML
• Latex

A note taking and personal knowledge management system maintained in Obsidian

DETAILS:

• Nurtured a representation of knowledge gained within the last year, including academic education, personal learning, and academic research, to make better connections between concepts
• Amassed nearly 1000 notes covering subjects related to Computer Science