Resume
Biomedical Engineering Student | University of Texas at Austin
bilalshihab@utexas.edu | 512-920-9883 | Austin, TX
Education
University of Texas at Austin
Bachelor of Science in Biomedical Engineering
Expected Graduation: May 2027
Concentration in Computational Biomedical Engineering
Relevant Coursework: Intro to Computational Engineering Design, Intro to Computing, Introduction to Python & C++, Statistics, Circuits, Biomechanics, Numerical Methods, Differential Equations & Linear Algebra
Experience
AI/ML Developer
Longhorn Neurotech - Austin, TX
September 2023 - Present
- Collaborated on developing machine learning models for Brain-Computer Interfaces (BCI) aimed at controlling a prosthetic arm, leveraging advanced techniques such as Convolutional Neural Networks, Capsule Networks, & Radial Basis Function Networks.
- Explored and implemented various interpretability techniques, including Optuna for hyperparameter optimization, to improve model transparency and provide insights into model decision-making processes, enhancing the reliability of BCI applications.
Researcher and Programmer
Functional Optical Imaging Laboratory - Austin, TX
September 2023 - Present
- Developed a comprehensive Laser Speckle Analysis UI using Python and PySide6, integrating real-time image capture and analysis with Basler cameras and Arduino control for auto laser intensity adjustment.
- Enhancing precision in speckle pattern evaluation and optimizing laser current recommendations through advanced histogram, pixel count, and contrast analysis methods.
- Optimized contrast adjustment script, rewriting it from MATLAB to Python, enhancing the system's efficiency.
Competition Director
Biomedical Engineering Society - Austin, TX
August 2023 - Present
- Spearheaded the entire competition process, ensuring alignment with strategic objectives and seamless execution, while also developing the competition prompt.
- Managed logistics and facilitated effective communication with participants, ensuring all aspects of the event ran smoothly.
- Designated tasks to team members and optimized resource allocation, contributing to the successful outcome of the event.
Math Instructor
Mathnasium - Mountain View, CA
April 2022 - June 2023
- Mentored grade school students in mathematics, developing personalized curriculum and innovative teaching techniques tailored to each student's learning style and pace, fostering a deeper understanding and appreciation of mathematical concepts.
- Facilitated conflict resolution among students and employees, employing effective communication strategies to promote a collaborative learning and working environment.
Projects
MotorMind Project
Austin, TX
- Developing a framework for converting brain signals into speech using EEG data and Google's Gemini AI.
- Implemented advanced tokenization methods to process and interpret EEG signals for accurate speech generation and integrated Supabase for efficient storage and management of EEG token embeddings.
- Planned the next phase of the project to design a specialized headset for real-time brain-to-speech conversion, enhancing accessibility and communication.
Healthcare AI Project
Austin, TX
- Creating a system for uploading and managing DICOM files using Google Cloud Healthcare API.
- Implemented a Pub/Sub notification system to monitor DICOM uploads, enabling real-time data processing.
- Configured Google Cloud resources, including DICOM stores and Pub/Sub topics, to support healthcare data workflows.
- Planned integration of AI-powered analysis for DICOM images to enhance diagnostic capabilities.
College AI Project
Austin, TX
- Developing an AI chatbot using Langchain and Google Cloud to assist students with college selection, enhancing user experience through personalized recommendations.
- Managed a comprehensive database of colleges and majors on Google Cloud for efficient data retrieval.
- Implemented AI features through Vertex AI, integrating natural language processing and retrieval-augmented generation (RAG) to enhance chatbot functionality.
- Strengthened expertise in cloud infrastructure, database management, and algorithm design through hands-on project development.
Skills
Technical Skills
- Programming Languages: Python, C++, MATLAB
- Machine Learning: PyTorch, TensorFlow, Captum
- Tools & Platforms: Google Cloud SDK, Git, Jupyter Notebook
- Engineering Software: SolidWorks, Fusion 360, LabVIEW
- Biomedical Expertise: Laser Speckle Systems, Brain-Computer Interfaces, Medical Imaging