I’m an ML Engineer and M.A.Sc. student at the University of Toronto, focused on efficient machine learning, computer vision, and agentic AI.
I enjoy building systems that connect research ideas to practical applications, especially in:
- Machine Learning & Deep Learning
- Computer Vision & Detection/Tracking
- Applied AI Systems & Intelligent Automation
- Efficient and scalable ML workflows
- Computer vision projects with real-world constraints
- AI systems that combine reasoning, automation, and deployment
- Artificial-Intelligence — ML / RL / optimization / deep learning exploration
- Football-Player-Tracking — computer vision, detection, segmentation, and tracking-by-detection
- Flight-Management-System — Python, PostgreSQL, and Java
- Sentiment-Analysis-Project — NLP and sentiment analysis
- Stock-Prediction-Using-ML — stock and currency prediction with ML / AI methods
- Reinforcement-Learning-Based-Fault-Tolerant-Scheduling — RL and scheduling research
- Email: m.j.maheronnaghsh@gmail.com
- Website: https://mjmaher987.github.io
- LinkedIn: https://linkedin.com/in/mj-maheronnaghsh
- Google Scholar: https://scholar.google.ca/citations?user=imjOYOkAAAAJ&hl=en
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