Jalal Arabneydi

Jalal Arabneydi is a seasoned professional in the field of machine learning and artificial intelligence, currently serving as the Tech Lead for enterprise clients at JACOBB, where leadership in developing a multimodal pipeline for house price prediction is highlighted. With experience as a Co-Founder of a stealth AI startup focused on automating web-based tasks using agentic AI, Jalal has also contributed to independent research on efficient foundation models and reinforcement learning. Previous roles include senior positions at Concordia University, McGill University, and Simon Fraser University, where significant advancements were made in areas such as robotics, decision-making systems, and decentralized learning. Jalal holds a Ph.D. in Electrical and Computer Engineering from McGill University, complemented by a Master's from the University of Tehran and a Bachelor's from Isfahan University of Technology.