Summary
Amar Dhillon is an Enterprise Solution Architect specializing in AI with nine years of experience designing and delivering cloud-native, multi-cloud solutions for complex enterprises, currently shaping AI strategy at Air Canada from Toronto. He bridges business stakeholders, data engineers, and data scientists to deliver production AIโauthoring detailed solution architectures, proofs-of-value, and shepherding approvals through SRB and technical review boards. His portfolio spans operational airline systems (On Time Performance, Revenue Integrity, Maintenance, Fuel & Supply optimization), CRM and chatbot solutions, and model-driven pricing/forecasting tools built with technologies like SageMaker/Bedrock, Databricks, Snowflake, ADF, and Kubernetes. Earlier work includes modernizing Nokiaโs Home Device Manager into microservices and an academic background in real-time complex event processing that produced measurable edge-device efficiency gains. Known for combining hands-on platform engineering with governance and cost-aware architecture, he also holds applied AI training from MIT and an M.A.Sc. in Computer Science from Carleton.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Punjabi University, Patiala
Applied Data Science Program Artificial Intelligence, Applied Data Science Program Artificial Intelligence at Massachusetts Institute of Technology
Master's of Applied Science (M.A.Sc) Computer Science, Master's of Applied Science (M.A.Sc) Computer Science at Carleton University
english ๐จ๐ฆ๐บ๐ธ, punjabi ๐พ, hindi ๐ฎ๐ณ, french ๐ซ๐ท, urdu ๐ต๐ฐ