Summary
Hassan Rehman is a Senior AI Solution Architect with 8 years of hands-on experience designing and deploying generative AI and multimodal systems across cloud-native environments. Based in Dubai, he architects agentic GenAI pipelines and multi-agent workflows that have driven measurable business impact—such as a 70% increase in lead generation and several enterprise SaaS wins—while balancing compliance for regulated domains like healthcare and industrial safety. He blends deep model work (fine-tuning Llama, GPT-4, Claude and RAG/vector DB integrations) with pragmatic MLOps and IaC practices on AWS, Azure and GCP to speed releases and cut cloud overhead. A former technical lead who built FDA-cleared medical vision solutions and led cross-functional teams, Hassan pairs rigorous engineering with ethical AI governance and a knack for unifying telemetry, ERP/CRM and real-time vision/voice pipelines. Although active in open source-minded work on GitHub, he’s most distinctive for translating cutting-edge research into production-grade agentic systems that solve complex operational problems.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Master of Science - MS at National University of Computer and Emerging Sciences
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at The Islamia University of Bahawalpur