Summary
Shadid Haque is an AI Engineer in Toronto with 11 years of experience building scalable web applications, generative AI agents, and automation that reduce operational load and drive revenue. He has delivered measurable impact across enterprises—from cutting customer service load 50% with a RAG-based chat agent at Bell to boosting frontend productivity and self-serve sales through agentic AI. Comfortable across the full stack, Shadid combines React/Next.js and TypeScript frontends with serverless microservices, GraphQL/BFF patterns, and cloud deployments to ship production systems at scale. His background spans research-driven AI roles at Adobe to hands-on product engineering at Fauna, OMERS, and IBM, reflecting a knack for turning complex systems into simpler developer and user experiences. Known for pragmatic automation and developer tooling, he also teaches and mentors, having developed curricula to increase student engagement in programming. An inquisitive engineer who blends craftmanship with experimentation, he brings both measurable business outcomes and a curiosity-driven approach to AI-enabled products.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Applied Science - BASc Computer Science, Bachelor of Applied Science - BASc Computer Science at Ontario Tech University
Master's degree Computer Science, Master's degree Computer Science at University of Colorado Boulder
English, Bengali, German, Spanish