About Me
// Biomedical Engineering student @ UT Austin
// FOCUS: Healthcare + Technology convergence
// SPECIALIZATION: AI/ML, Brain-Computer Interfaces, Medical Imaging
// Currently executing projects in neural signal processing, healthcare AI systems, and medical device development. Seeking collaborative opportunities in healthcare innovation.
Projects
ML Interpretability with Neurotech
Contributed to developing and improving capsule network architecture for better model interpretability in neural signal processing. This project enhances the ability to understand and interpret brain-computer interface models.
View on GitHub →College AI
An AI chatbot with Langchain and Retrieval-Augmented Generation (RAG) to assist students in selecting majors and colleges, leveraging Vertex AI for improved model performance.
View on GitHub →Healthcare AI
An AI-powered solution for healthcare applications, focusing on medical data analysis and patient outcome prediction.
View on GitHub →Laser Speckle Project
Improved blood flow analysis during surgery by automating laser speckle contrast regulation using Arduino and Python.
View on GitHub →MotorMind: EEG Signal Processing with RAG-Gemini
A Python framework for processing EEG signals using Retrieval-Augmented Generation (RAG) with Google's Gemini AI. Features EEG data acquisition, tokenization, vector storage, and inference capabilities.
View on GitHub →Skills
Contact Me
Email: bilalshihab@utexas.edu
Location: Austin, TX