I build intelligent systems from first principles — combining low-level engineering with modern AI.

I’m an AI & Data Science student at Applied Science University (GPA: 3.94, Ranked 2nd)
and a 42 Amman student, focused on building systems that are both intelligent and efficient.

My work spans:

• ⚙️ Systems programming (C, Unix, memory, processes)
• 🤖 Machine Learning & AI systems
• 📊 Data science & real-world analytics
• 🧠 Generative AI workflows and applications

• Designing end-to-end AI systems (data → model → inference)
• Understanding low-level system behavior (memory, processes, performance)
• Building LLM-powered applications
• Improving model performance and efficiency
• Exploring scalable intelligent systems

• C / C++
• Unix / Linux / POSIX
• Memory management & process control
• Data structures & algorithms
• Performance optimization

• Python
• Scikit-learn, Pandas, NumPy
• Deep Learning fundamentals
• NLP & Computer Vision
• Model evaluation & feature engineering

• Exploratory Data Analysis (EDA)
• Statistical analysis
• Data visualization (Matplotlib, ggplot2, Power BI)
• SQL (SQLite, PostgreSQL)

• Stable Diffusion, DALL·E, MidJourney
• Prompt engineering
• Image generation pipelines
• AI-assisted design workflows

Conversational AI system for automating library operations

• Built using LangChain + LangGraph
• Tool-based reasoning (search, orders, inventory)
• FastAPI backend + SQLite database
• Local LLM inference via Ollama
• Web chat interface (HTML/CSS/JS)

🔗 https://github.com/MohammadHezan/Library-disk-agent

End-to-end ML pipeline on real healthcare data

• Data cleaning, EDA, and statistical analysis
• Feature engineering & class imbalance handling
• Models: Logistic Regression, Random Forest, Gradient Boosting
• Evaluation: ROC-AUC, precision-recall
• Focus on interpretability & ethical AI

🔗 https://github.com/MohammadHezan/hospital-readmission-risk-analysis-r

High-performance sorting under strict constraints (C)

• Optimized operation count using greedy & chunking strategies
• Complexity-aware design & benchmarking
• Deep focus on algorithm efficiency and trade-offs

🔗 https://github.com/MohammadHezan/push_swap

Reimplementation of Unix pipe behavior

• fork, execve, pipe, dup2
• Process control & file descriptor management
• Inter-process communication

🔗 https://github.com/MohammadHezan/pipex

Real-time fractal rendering engine

• Mandelbrot & Julia sets
• Complex number computations
• Performance-optimized rendering

🔗 https://github.com/MohammadHezan/fractol

I approach every project as a system — not just code.

• Build from first principles
• Understand the cost of abstraction
• Combine systems thinking with AI
• Optimize for performance and clarity
• Focus on real-world impact

• 🎓 BSc in AI & Data Science — Applied Science University
• 💻 42 Amman — Systems Programming & Software Engineering

• GitHub: https://github.com/MohammadHezan
• LinkedIn: https://linkedin.com/in/mohammad-haizan
• Email: [email protected]