Online Resume
Download PDF VersionIssam Alzouby
Medical AI Researcher | Digital Twin Systems | Infra & Motion Modeling- +1 (704) 555-1234
- ialzouby@gmail.com
- issamalzouby.com
- Charlotte, NC
I'm a Medical AI Engineer focused on building real-time digital twin systems through advanced motion modeling, GPU-accelerated pipelines, and AI optimization. My research bridges applied machine learning, biomedical systems, and human movement simulation. I’ve led award-winning work at Duke, UNC Chapel Hill, while mentoring students and deploying scalable models using PyTorch, FastAPI, and CoreML.
Experience
AI Research AssistantUNC Charlotte | 2023 – Present
- Led model deployment, optimizing pipelines to achieve a 70%+ reduction in processing and inference time
- Built a scalable CUDA-based pipeline deploying BAMM and TADA on an A6000 GPU cluster for rapid motion generation
- Trained transformer-based text-to-motion models for generating realistic human movement from language
Medical AI Research CollaboratorDuke Heart Center | 2024 – Present
- Awarded ‘Best Oral Presentation in Cardiac Surgery’ at the 62nd Eastern Cardiothoracic Surgical Society conference
- Designed an algorithm that improved projected organ donation success by 94% and reduced ICU staff workload
- Co-authored 4 medical AI papers on clinical decision making, currently in final review for submission to Nature Medicine
IT ManagerData Connectors CyberSecurity | Jan 2024 – Jan 2025
- Administered and secured the Office 365 suite, including IAM and Defender, mitigating risks and ensuring compliance
- Traveled across the US and Canada to manage conferences and engaged with industry leaders, fostering collaboration
- Trained cross-departmental teams on system tools and processes, driving efficiency and consistent workflow adoption
- Refined HubSpot pipelines for over 900,000 leads, applying Power Query, Power BI & OSINT to boost data fidelity
GPU Infrastructure Support EngineeriRepairCLT | 2020 – 2023
- Reverse Engineered proprietary ASIC hashing boards and Nvidia Graphics Cards (Primarily RTX 30/40 Series)
- Maintained GPU clusters across high humidity and high heat mining farms, implementing solutions to maximize uptime
Projects
T2M & A2M Multi-modal Motion GenerationOpenSource AI / FastAPI / Motion Generation
- Led a team of 5 master’s students under faculty supervision to deploy BAMM and SMPL-X models on a university GPU cluster
- Reduced T2M inference time from 90s to 7s and audio preprocessing from 4min to 30s using CUDA optimization
- Built custom FastAPI endpoints and a responsive Next.js frontend for real-time motion generation from text and audio
- Implemented motion retargeting to TADA avatars, enabling expressive in-browser 3D animation
6 Time Hackathon Winner Node.js / OpenAI API / Innovation
- NC NASA Hackathon, UNC Chapel Hill’s HackNC, NC State Hackathon, and the Truist Immersive Experience
- Secured 1st place in the 2024 NC State Competitive Programming Competition demonstrating problem solving skills
- Developed AI-powered voice translation and bias-reducing applications, securing 1st place in 4 major hackathons
- Leveraged CoreML, PyTorch, OpenAI API, AWS Amplify, and Firebase, demonstrating practical impact and innovation
Skills
- Motion Modeling (SMPL, MoMask, BAMM)
- GPU Infrastructure (CUDA, RTX6000 Cluster)
- CoreML, ONNX, PyTorch, FastAPI
- Three.js, React, Tailwind, Next.js
- OpenAI APIs (ChatGPT, Whisper, DALL·E)
Education
B.S. Computer Science – UNC Charlotte (R1)Expected 2025
M.S. Artificial Intelligence – UNC Charlotte (R1)Expected 2026
Awards
1st Place – Eastern Cardiothoracic Surgical Society Conference2024
Truist Immersive Team Leader2023
AI Research Travel Grant2023
UNC-Charlotte Career Panelist2023
UNC-Charlotte Chancellor's List2023
Languages
- English (Native)
- Arabic (Native)
Interests
- AI for Healthcare Equity
- Motion Simulation
- Mentoring & Community Outreach
- Tinkering with Hardware