ML Developer
Data Scientist
Full Stack Developer
AI Engineer
Data Engineer

Mohammed Abu Mustafa

Data Scientist | ML Engineer | AI Solutions Architect

Delivering AI across IoT, healthcare, and agriculture — from award-winning research to real-world pilots and €1–2M pipeline growth.

Best Paper
ISDIA-2025
Best Presentation
ICRAE2023
Live Integrations
REST APIs & IoT Feeds
10+
AI Use Cases Designed & Delivered
Best Paper — ISDIA-2025 Best Presentation — ICRAE2023 GITEX Showcase 2025

About Me

I'm a passionate Data Scientist pursuing a Master of Science in Data Analytics at Rochester Institute of Technology (starting in 3 months), building upon my BSc in Computing and Information Technologies from RIT with a 3.55 GPA and six Dean's List recognitions.

My expertise spans from building genetic algorithms that revolutionize scheduling systems to developing computer vision models for medical applications. I've published award-winning research and delivered workshops to 80+ participants, consistently bridging the gap between complex data science concepts and practical business solutions.

Best Paper Award at ISDIA-2025
Dean's List (6x)
Mentored 60+ Students

Education

Master of Science in Data Analytics

Rochester Institute of Technology - Dubai

Expected Graduation: May 2027

  • Data Mining & Knowledge Discovery
  • Visual Analytics & Enterprise Infrastructure
  • Information Security & Risk Management
  • Data Analytics for Emerging Technologies
Focus Areas:
Data Mining AI Machine Learning Data Science Data Analytics

Bachelor of Science in Computing & Information Technologies

Rochester Institute of Technology - Dubai

Graduated: 2025

  • GPA: 3.55/4.0
  • Dean's List: 6 Semesters
  • Best Paper Award - ISDIA 2025
  • Best Presentation - ICRAE 2023
Focus Areas:
Machine Learning Computer Vision Data Science AI Systems

Experience

Jun 2025 – Present

AI Solutions Architect Intern

Cumulocity IoT (SoftwareAG)

  • Built an AI service catalog of 10+ use cases for customer presentations and GITEX demos
  • Forged strategic partnerships expanding the IoT ecosystem
  • Integrated live camera feeds via REST API for real-time monitoring
  • Delivered AI workshops for 80+ participants supporting €1–2M pipeline
AI/ML IoT REST API Computer Vision
May 2024 – Aug 2024

Lead Optimization Researcher

Rochester Institute of Technology

  • Developed genetic algorithms reducing scheduling time from days to 2–3 hours
  • Increased model accuracy to 90% through refined constraints and testing
  • Published Best Paper at ISDIA-2025
  • Collaborated with faculty to translate requirements into data-driven solutions
Genetic Algorithms Optimization Python Research
May 2023 – Aug 2023

Computer Vision Intern

Analytica

  • Built live face identifier/tracker achieving 80% accuracy for JVP exam research
  • Developed web app for vein and rib detection using template matching (80% accuracy)
  • Led software development supporting medical visualization research
Computer Vision OpenCV Medical AI Web Development

Featured Projects

Parkinson's Disease Progression Prediction

Processed 980K+ protein/peptide records to build predictive models for early-stage Parkinson's progression, achieving 65-70% classification accuracy through advanced feature engineering and signal processing.

980K+ Records
70% Accuracy
Python Scikit-learn Pandas Signal Processing

AI-Powered Crop Monitoring for Precision Agriculture

Developed AI models and datasets for crop analysis using drone imagery in partnership with Dubai Future Labs. Assisted in creating the complete data pipeline, machine learning models, and web interface for resource-efficient farming. Project was published in the 21st International Conference on Distributed Computing and Artificial Intelligence (DCAI 2024) with Springer Nature, achieving 86.5% accuracy using YOLOv8 and multispectral sensors. View Publication

86.5% Accuracy
DCAI 2024 Conference
YOLOv8 Multispectral Sensors NDVI Processing Drone Technology

Sign2Sign 3D Avatar Translator

Built a 3D Avatar-based sign language translator for English–German translation using computer vision and NLP. Implemented sign-to-text model with Euler angle calculations.

3D Avatar Technology
2-Way Translation
Computer Vision NLP 3D Avatar Deep Learning

Intelligent Class Scheduling Optimization

Developed a genetic algorithm-based scheduling system that reduced class scheduling time from days to 2-3 hours while maintaining 90% accuracy. Optimized resource allocation and conflict resolution for large-scale academic institutions.

90% Accuracy
75% Time Reduction
Genetic Algorithms Python Optimization Constraint Solving

Technical Skills

Programming Languages

Python
SQL
Java
C++
JavaScript
HTML/CSS

Data Science & ML

Pandas & NumPy
Scikit-learn
TensorFlow/PyTorch
Matplotlib/Seaborn
Computer Vision
NLP

Tools & Technologies

MySQL
Git
Linux/Unix
REST APIs
IoT Platforms
Data Pipelines

Let's Connect

Get In Touch

I'm always interested in discussing data science opportunities, collaborating on innovative projects, or sharing insights about AI and machine learning.

mohammad123.eyad@gmail.com
(656) 213 3342
Atlanta, GA

Mohammed Abu Mustafa - Resume

Contact Me

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