💡 About Me
I'm a graduate researcher and teaching assistant at McMaster University, with a focus on federated learning, distributed optimization, and AI for edge computing.
Driven by solving real-world ML problems, I have hands-on experience in both academic research and industry deployment, from traffic analysis systems to privacy-preserving IIoT models.

🌍 Based in Canada
📬 Reach me at: mohammadheydari.eduu@gmail.com
📚 MSc in Computer Software Engineering (4.0 GPA)
🏆 Multiple award recipient for academic and research excellence

• 🧠 Graduate Research Assistant, McMaster University
  Designed FL algorithms for fairness and scalability. Developed optimization techniques for decentralized agents in edge computing.

• 👨‍🏫 Teaching Assistant, McMaster University
  Supporting graduate-level courses on ML, optimization, and software engineering.

• 📊 Data Science Researcher, University of Tehran
  Researched GAN-based privacy-preserving learning for Industrial IoT systems with semi-supervised and adversarial techniques.

• 🚗 Machine Learning Engineer, HARA AI
  Built real-time computer vision systems with sub-100ms inference latency. Enhanced NLP and speech-to-text systems for call center platforms.

• 🎥 ML Engineer Intern, Smart Traffic Control
  Designed CNN-based vehicle tracking models and deployed full-stack ML solutions for smart cities.

• MSc in Computer Software Engineering, McMaster University
  GPA: 4.0/4.0 | Coursework: Trustworthy ML, Nonlinear Optimization, Unsupervised Learning

• BSc in Electrical & Computer Engineering, University of Tehran
  GPA: 3.8/4.0 | Capstone: GAN-based Privacy-Aware RL in IIoT

• 🏆 Faculty of Engineering Graduate Excellence Scholarship (Winter 2025, 2024)
• 🥇 Best Undergraduate Research Project (University of Tehran)
• 🎖️ Ranked Top 0.2% in Iran’s National University Entrance Exam

“Empowering intelligent systems through decentralized, secure, and scalable AI.”