Summary
Matin Ashtiani is a data scientist and AI researcher with eight years of experience building production-ready machine learning systems across government, telecom, and research settings. He has delivered high-impact projects—from a RAG-powered chatbot for Financial Policy at Natural Resources Canada to a YOLOv8-based insect detection pipeline that achieved 99.1% accuracy for the Canadian Forest Service. At Ciena and Nokia he translated NLP and deep learning research into real-time decision support and advisory systems, while continuing academic research as a long-term research assistant at the University of Ottawa and a PhD candidate in Digital Transformation and Innovation. Matin’s background spans both applied software engineering (mobile apps, optimization algorithms) and rigorous ML model development and fine-tuning for compliance-sensitive contexts. He’s pragmatic about production constraints, routinely using data augmentation and model iteration to boost robustness and reduce manual overhead. Based in Ottawa, he blends research rigour with hands-on deployments that drive measurable operational savings.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Digital Transformation and Innovation, Doctor of Philosophy - PhD, Digital Transformation and Innovation at Telfer School of Management at the University of Ottawa
Master's degree, Computer Science, Master's degree, Computer Science at University of Tehran
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Sharif University of Technology