Curriculum Vitae
Issam Alzouby
Medical AI engineer focused on real-time digital twins, motion modeling, and GPU-accelerated systems. I deploy scalable PyTorch/CUDA pipelines with FastAPI backends and modern web frontends, and mentor students on applied ML and Medical-AI workflows.
Education
Education
M.S. Artificial Intelligence
Expected May 2027
University of North Carolina at Charlotte
B.S. Computer Science
May 2025
University of North Carolina at Charlotte
Experience
Research & professional experience
AI Research Assistant
Jun 2023 – Present
UNCC AI4Health Center
- Led deployment & optimization of motion-modeling AI pipelines, cutting inference time by 60%+
- Built a scalable CUDA system with custom endpoints for commercial web app integration
- Trained transformer-based text-to-motion models for realistic human movement generation
Graduate AI Research Mentor
May 2025 – Jul 2025
Stanford University
- Mentored a cohort of 10 high-school students in Medical AI (Stanford HAI AI4ALL)
- Taught advanced linear algebra, ML fundamentals, and deployment of Medical-AI systems
- Guided zero-shot medical image classifiers using BiomedCLIP & SmolVLM
AI Research Engineer
May 2024 – May 2025
Duke Heart Center & UNC
- Best Oral Presentation in Cardiac Surgery (62nd Eastern Cardiothoracic Surgical Society)
- Designed an algorithm projecting +94% organ-donation success and reduced ICU workload
- Co-authored 4 papers on AI-driven clinical decision-making with custom software & models
GPU Infrastructure Support Tech
Jan 2020 – Dec 2022
iRepairCLT
- Repaired ASIC hashing boards and NVIDIA GPUs (RTX 30/40 series)
- Maintained GPU clusters in harsh environments to maximize uptime
Publications
Publications
Is Artificial Intelligence Saving Lives? A Meta-Analysis of Real-World Clinical Impact
Chouffani El Fassi, S., Ngan, Z., Alzouby, I., et al.
Gaps and Opportunities in the Medical AI Market
Alzouby, I., Chouffani El Fassi, S., Shahrour, L., et al.
Computer Algorithms to Optimize Organ Donation After Circulatory Death (DCD)
Chouffani El Fassi, S., Alzouby, I., Yüksel, I., Khan, T., et al.
AI Tool to Time ECMO for SVC Syndrome Relief: A Use Case in Nonseminomatous Germ Cell Tumor Resection
Chouffani El Fassi, S., Khoury, L., Alzouby, I., Haithcock, B.
Projects
Selected projects
Motion Encoder Research
May 2025 – Jul 2025
- Implemented a VQ-VAE for discrete motion embeddings for transformer-based generation
- Trained an autoencoder with low reconstruction errors (L2: 0.0159, L1: 0.0640)
- Boosted performance with codebook resets & EMA stabilization
Text & Audio → Motion Model Deployment
Jan 2025 – May 2025
- Reduced T2M inference from 90s → 7s; audio preproc 4min → 30s via CUDA optimizations
- Built FastAPI endpoints + Next.js UI for real-time T2M/A2M generation
- Motion retargeting to TADA avatars with Three.js for in-browser 3D animation
Home Lab — AI Fine-Tuning Server
Jan 2024 – Present
- Deployed Dell PowerEdge servers & 40TB NAS over 10GbE for low-latency workflows
- Experimented with quantization & fine-tuning for model compression
- Fine-tuned ResNet50 on chest X-rays for pneumonia detection (90% accuracy)
7-Time Hackathon Winner
Aug 2022 – Present
- NC NASA Hackathon, HackNC, NC State Hackathon, Truist Immersive Experience, UNCC AIR
- 1st place, 2024 NC State Competitive Programming Competition
- Built AI voice-translation & bias-reduction apps; 1st place in 5 major events
Recognition
Awards & honours
1st Place & Global Nominee — NASA Space Apps Challenge
Best Oral Presentation in Cardiac Surgery
62nd Eastern Cardiothoracic Surgical Society
1st Place — NC State Competitive Programming Competition
2025 Truist Student Leader
AEOP Summer Leader
AI Travel Grant
Undergraduate Research Assistant award
AWS Certified Solutions Architect – Associate (SAA-C03)
Skills
Technical skills
Languages
Python (Adv), HTML/CSS (Adv), JavaScript (Int), SQL (Int), C++ (Beginner)
AI & ML
PyTorch, Transformers, Fine-Tuning, Model Architecture, CUDA Optimization, Data Processing, API Deployment
Cloud & deployment
AWS (SAA-C03), GCP, OpenAI API, FastAPI, Next.js, Git, Hugging Face
Languages spoken
English (Native) · Arabic (Native)
Interests
AI for Healthcare · Motion Simulation · Mentorship & Outreach · Hardware Tinkering
Graduate AI Mentor — Stanford HAI AI4ALL
Mentored students through the medical AI track.
Graduate AI Mentor — UNC Charlotte AEOP
Mentored students through UNC Charlotte's STEM internship program.
Community Pantry Organizer
Led and organized bi-weekly drives feeding 50+ families each time.
UNICEF Translator
Assisted with translations and documentation in Jordanian refugee camps.
Free Healthcare Clinic — web & scheduling
Developed website and scheduling system for a refugee-focused free clinic.
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