Reza Namazi
rezanamazi23@gmail.com

I am an AI Engineer specializing in Applied Artificial Intelligence, Generative AI, and Machine Learning Systems. My work is focused on bridging the gap between cutting-edge AI research and real-world business applications, architecting robust systems that drive measurable impact.

Currently, I am an AI Engineer at BASF Canada, focusing on developing and deploying enterprise AI solutions. Previously, I contributed to AI-powered workflows and deep research pipelines during my time at the Vector Institute, Appraiva, and EthicalAI.

I hold a Master of Applied Science (M.A.Sc.) in Computational Science and Engineering from McMaster University, where my research was centered on leveraging graph neural networks. I am passionate about developing end-to-end intelligent systems, from reproducible data pipelines and MLOps to full-stack web applications.

Skills

  • Programming Languages: Python, C++, SQL
  • Cloud & MLOps: Azure, Databricks, AWS, Docker, Kubernetes, Linux, CI/CD, Git
  • Frameworks & Libraries: PyTorch, TensorFlow, FastAPI, Flask, HuggingFace, LangChain, Weights & Biases, Pinecone

Academia

McMaster University
2022 - 2024
Hamilton, ON, Canada
M.A.Sc. Computational Science and Engineering
Sharif University of Technology - Kish Int. Campus
2017 - 2022
Kish, Iran
B.Sc. Computer Engineering
GPA: 3.83/4.0

Work Experience

BASF Canada Inc.
September 2024 - present
Mississauga, ON, Canada
AI Engineer
Architecting multilingual RAG systems and deploying scalable predictive models.
BASF Canada Inc.
January 2023 - September 2024
Mississauga, ON, Canada
Applied Machine Learning Intern
Appraiva
May 2024 - August 2024
Winnipeg, MB, Canada (Remote)
Machine Learning Engineer Intern
Vector Institute
May 2024 - August 2024
Toronto, ON, Canada
Research Analyst
EthicalAI
January 2024 - May 2024
Toronto, ON, Canada
Machine Learning Associate
Arjan Araye Pouya
June 2020 - September 2022
Ahwaz, Khouzestan, Iran
Software Engineer

Interests

  • Applied Artificial Intelligence
  • Generative AI & RAG Systems
  • MLOps & CI/CD
  • Web Application Development
  • Deep Learning on Graphs

News

Recent Publications

SMGRL: A Scalable Multi-resolution Graph Representation Learning Framework, 2022, arXiv preprint arXiv:2201.12670
Reza Namazi , Elahe Ghalebi , Sinead Williamson , Hamidreza Mahyar
GL-Coarsener: A Graph representation learning framework to construct coarse grid hierarchy for AMG solvers, 2020, arXiv preprint arXiv:2011.09994
Reza Namazi , Arsham Zolanvari , Mahdi Sani , Seyed Amir Ali Ghafourian Ghahramani

Projects

Home Server Infrastructure
Graph Neural Network Architecture Search