Projects

Things I've built or am building.

Visualizing and Interpreting Transformer-based Vision Models

Applying Shapley-value based methods (FastSHAP) to Vision Transformers and Masked Autoencoders, comparing results to a classical ResNet for model interpretability.

Interpretability Visualization Shapley Values Vision Transformer Masked Auto-encoder

Semantic Segmentation of Satellite Imagery

Automatic pixel-level classification of satellite imagery using U-Net and ResNet architectures, achieving 0.887 mean IoU on the Landcover.ai dataset.

U-Net ResNet Semantic Segmentation Satellite Imagery

Performance Prediction Using Machine Learning for Multi-threaded Applications

A learning-based approach for predicting performance of multi-threaded benchmarks using execution parameters and machine learning models.

Machine Learning Multi-threaded Applications Performance Prediction

Green Investing using Alternative Data Sources

Exploring Twitter feeds and news articles as alternative data sources to predict closing stock prices of leading green energy companies.

TF-IDF Granger Causality Lag Correlation Sentiment Analysis

Predicting the Execution Time of a Kernel on a Specific GPU using PTX Code

Training ensemble learning and deep learning models to predict GPU kernel execution time using CUDA-Flux profiler data from PTX code.

CUDA PTX Machine Learning GPU Performance