Ali Asad is an AI Engineer and Data Scientist with 11 years of experience building production-grade, agentic AI systems that bring planning, long-term memory, orchestration, and autonomous sub-agents into enterprise operations. He has architected deep-agent frameworks and delivered mission-critical smart-building and stadium solutions for clients like FIFA 2022, DEWA HQ, and BEEAH, translating research ideas into reliable, scalable deployments. At Capgemini he focuses on extending platforms such as LangChain, LangGraph, and MCP to create ambient assistants that continuously optimize workflows and automate decisions. A practical technologist who started in full-stack and embedded AI products, he combines ML model training and deployment expertise (PyTorch/TensorFlow) with cloud-native delivery on Azure. He also shares strategic insights via a LinkedIn newsletter, helping leaders navigate how to scale AI beyond prototypes into trusted production systems.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Gujrat
Contributions:1 PR, 12 pushes, 1 branch in 1 year 4 months
free-projectdotnetget-startedc-sharpcsharp
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.