Summary
Arslan Ahmed is a senior machine learning engineer based in Old Toronto with 8 years of experience delivering enterprise-grade AI and data solutions. He currently leads GenAI transformation for Manulife's Global Contact Centre Operations, architecting AI agents and a portfolio of 6 chatbots across North America while reducing average response times by 60%. He combines hands-on data science with AI product leadership, leveraging Azure AI, Langchain, and LangGraph to scale conversational systems used by hundreds of thousands of daily interactions. Previously at IBM, he built real-time data pipelines processing over 30 million events per day for Watson Assistant and led Nimbus architecture to deliver contextual recommendations, using Kafka, PySpark and related tech. His technical foundation spans data engineering, NLP, and time-series forecasting, reinforced by a MASc in Data Science and a track record of energy analytics and IEEE publications. He has presented at NASA's AGU conference and brings a rare blend of research rigor, product acumen, and practical delivery to complex AI programs.
8 years of coding experience
9 years of employment as a software developer
Master of Applied Science (MASc), Electrical and Computer Engineering with specialization in Data Science, Master of Applied Science (MASc), Electrical and Computer Engineering with specialization in Data Science at Carleton University
Bachelor of Science (BS), Electrical Engineering, Bachelor of Science (BS), Electrical Engineering at National University of Sciences and Technology (NUST)