Summary
Taher Ahmadi is an AI Engineer with a decade of experience and 7+ years focused on machine learning research in robotics, computer vision, and generative AI, now applying that expertise to production-grade agentic systems and LLM post-training. He has built large-scale ML infrastructure and multi-agent pipelines that turned natural language queries into deterministic, production-ready analytics—automating over 70% of typical enterprise queries. Taher’s work bridges academia and industry, with MS-level research published at ICRA and contributions to human trajectory prediction, SLAM, and 3D pose estimation, plus multiple RoboCup awards reflecting deep hands-on robotics experience. Comfortable leading cross-functional initiatives, he blends probabilistic modeling and control theory with practical engineering to ship reliable systems in SaaS, robotics, and digital health contexts. An appetite for creative rigor shows through both competitive robotics wins and a poetic GitHub bio hinting at a distinctive personal voice behind his technical depth.
10 years of coding experience
10 years of employment as a software developer
Amirkabir University of Technology
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Simon Fraser University