Amir Shahbandegan is an AI Engineering Manager with a decade of experience delivering production-grade ML and GenAI systems across public sector and financial services. He built the Canada Revenue Agency’s first production RAG chatbot and later led a 15+ engineer distributed team to productionize a multi-agent AI platform for a Tier-1 bank on AWS, marrying technical architecture with stakeholder-driven productization. Deeply versed in transformer-based NLP, vector databases, and MLOps, he routinely ships secure, containerized deployments on Azure and OpenShift/Kubernetes. His career spans research—MSc with publications at ACL-level venues—and startup success as a CTO who scaled a consumer platform to 100k users and $1M+ annual revenue. Known for translating cutting-edge research into auditable, enterprise-ready pipelines, he balances hands-on engineering with strategic client partnership. Based in Toronto, he’s actively seeking roles that leverage his blend of cloud-native deployment expertise, NLP research background, and proven delivery leadership.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science - Artificial Intelligence Specialization, Master of Science - MS, Computer Science - Artificial Intelligence Specialization at Lakehead University
Bachelor’s Degree, Electrical and Electronics Engineering, Bachelor’s Degree, Electrical and Electronics Engineering at Shahid Beheshti University
Mathematics, Mathematics at National Organization for Development of Exceptional Talents (Sampad)
Cerebro plugin to list open windows and raise or close them.
Contributions:6 commits, 6 PRs, 3 pushes in 2 years 1 month
cerebro-pluginwindowscerebroraiseplugin
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