Resume

Biomedical Engineering Student | University of Texas at Austin

bilalshihab@utexas.edu | 512-920-9883 | Austin, TX

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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