About Me
Machine Learning Engineer. Researcher
I build machine-learning platforms that turn data into practical solutions. I am currently creating human-centred AI tools for healthcare at UHN in Toronto, Canada.
8
+
Years of Experience
48
+
Projects Done
32
+
Publications
Skills
What I Do
End to end AI and machine learning platforms spanning software development, advanced modeling, multimodal data analysis across text, images, video, graphs, time series, and tabular data, and cloud deployment with MLOps.
01
Programming & Development
Python, Kotlin, C++, and SQL development across web, backend, Android, and Wear OS applications, with a focus on scalable and maintainable systems.
02
Machine Learning & AI
End-to-end machine learning using PyTorch, Scikit-learn, OpenCV, LangGraph, and AgentKit, covering NLP, large language models, retrieval-augmented generation, computer vision, deep learning, anomaly detection, and statistical modeling.
03
Model Deployment & MLOps
Cloud-based deployment and monitoring on Microsoft Azure and Google Cloud Platform using Git, Docker, Flask, and FastAPI, with CI/CD pipelines and containerized model serving.
04
Data Analysis & System Expertise
Analysis and integration of graph, image, video, text, time-series, multimodal, and tabular data to support robust AI systems and data-driven decision making.
05
Research & Scientific Leadership
Study design, hypothesis-driven modeling, dataset curation, systematic scoping literature reviews, benchmarking and evaluation of machine learning systems, statistical validation, reproducible research, peer-reviewed publishing, grant writing, and research ethics in AI for healthcare.
Resume
Education & Experience
A journey grounded in rigorous training, impactful research, and real-world machine-learning work.
Postdoctoral Fellowship in Artificial Intelligence for Healthcare
@ University of TorontoPh.D. in Electrical Engineering & Computer Science
@ Tarbiat Modares UniversityM.Sc. in Electrical Engineering & Computer Science
@ Amirkabir University of TechnologyB.Sc. in Electrical Engineering
@ Amirkabir University of TechnologyScientific Associate
@ Toronto Rehabilitation Institute, University Health NetworkPostdoctoral Researcher in Data Science for Public Health
@ Institute for Clinical Evaluative SciencesMachine Learning Engineer
@ Toronto Rehabilitation InstituteMachine Learning Engineer
@ Quark SoftwarePublications
Publications
A collection of peer-reviewed papers highlighting recent research and collaborations.
- 01
OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments
arXiv · 2025
- 02
Artificial Intelligence–Driven Virtual Rehabilitation for People Living in the Community: A Scoping Review
NPJ Digital Medicine · 2025
- 03
Rehabilitation Exercise Quality Assessment Through Supervised Contrastive Learning With Hard and Soft Negatives
Medical & Biological Engineering & Computing · 2025
Blog
Latest Blog Posts
Thoughts and insights on machine learning, AI systems, and real world applications in digital health and beyond.
Posted on December 17, 2025
Parameter Efficient Fine Tuning of LLMs Using Unsloth
Parameter efficient fine tuning adapts large language models to specific tasks without retraining all weights. By training only a small set of parameters, tools like Unsloth make LoRA and DoRA practical on a single GPU or Google Colab.
Read more
Posted on December 15, 2025
Pneuma: Breath, Spirit, and the Call to Remember
A meditation on consciousness and unity, built on hypnotic rhythm and restraint, Pneuma stands as one of Tool’s most deliberate and introspective compositions. It points to a simple truth: beneath identity and flesh, we share the same breath.
Read moreGet In Touch
Get In Touch
Interested in my research or development projects? Reach out and I’ll get back to you shortly.
- Phone: +1 (416) 597-3422 x7971
- Email: ali.abedi@uhn.ca
- Address: 550 University Ave, Toronto, ON M5G 2A2, Canada