Resume

University of Texas at Austin

Bachelor of Science in Biomedical Engineering, Computational Track

Organizations: Biomedical Engineering Society, Texas Guadaloop, Texas Engineering World Health

Relevant Coursework: Intro to Computational Engineering Design, Intro to Computing, Introduction to Python & C++, Statistics, Intro to Embedded Systems, Circuits, Signals, Biomechanics, Numerical Methods, Differential Equations & Linear Algebra

Edge AI Team Lead

Longhorn Neurotech - Austin, TX

• Promoted to lead the new Edge AI team, directing a group of student engineers on the initiative to optimize neural networks for deployment on embedded systems like Raspberry Pi.

AI/ML Developer

Longhorn Neurotech - Austin, TX

• Collaborated on developing machine learning models for Brain-Computer Interfaces (BCI) aimed at controlling a prosthetic arm, leveraging advanced techniques such as CNNs and Capsule Networks.
• Explored and implemented various interpretability techniques, including Optuna for hyperparameter optimization, to improve model transparency and enhance the reliability of BCI applications.

Research Intern

Recanzone Laboratory, UC Davis - Davis, CA

• Authored a pull request for a new 3D feature visualization UI to the open-source phy neuroscience software, designing an interactive 3D-to-2D projection pipeline with full camera controls for intuitive exploration of complex neural spike data.
• Engineered the mathematical model for the 3D viewer, enabling intuitive real-time data rotation through direct user mouse control.

Researcher and Programmer

Functional Optical Imaging Lab, UT Austin - Austin, TX

• 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.

AI Intern

Try Aladdin - San Jose, CA

• Designed an automated social media content pipeline using n8n, designing a workflow for AI agents to scrape product data, generate Instagram content, and interface with the Facebook API.
• Containerized the automation workflow and its dependencies using Docker, creating a reproducible development environment.
• Integrated a Large Language Model via its REST API within n8n, responsible for transforming product data into social media posts.

ECG PCB Project

Austin, TX

• Collaborated in a team to develop an Electrocardiogram PCB using Autodesk Fusion 360 for physiological signal monitoring.
• Selected components and designed the schematic layout for the signal amplification and filtering stages of the circuit.
• Led the project workflow by designating tasks to group members and optimizing the allocation of resources to ensure the timely completion of the project.

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 using Google MedGemma for DICOM images to enhance diagnostic capabilities.

Launch Kit (SaaS Project)

Austin, TX

• Spearheading the development of Launch Kit, an AI-powered platform designed to streamline college and career navigation for students by providing college recommendations and automating personalized professional networking.
• Architecting and implementing a scalable microservices ecosystem where autonomous AI agents built with Python communicate and collaborate to handle complex tasks like data analysis, content generation, and quality assurance.
• Integrating Google's Gemini API to power the core analytical capabilities of each agent and leveraging third-party services like ScraperAPI for robust, real-world data extraction from public web sources.

Technical Skills

• Technology/Skills: Python, C, C++, ARMv6-M Assembly, MatLab, R, Jupyter, Embedded Systems Programming, Google Cloud, Pandas, Matplotlib, Android Studio/IntelliJ, Pytorch, Keras, Machine Learning, SolidWorks, Fusion 360, Captum, Optuna
• Languages: Arabic (Native), French (Beginner)