Summary
Pablo Lopez is a Principal AI/ML Architect at Microsoft, leading Generative AI and cloud-native solutions for Fortune 500 and highly regulated industries within the Azure ecosystem, with a focus on Retrieval-Augmented Generation and agentic multi-agent systems. He designs real-time, memory-aware agents that reason, act, and collaborate, built on LLMs and orchestration frameworks using Azure AI, OpenAI, Semantic Kernel, and custom stacks. His background spans full-stack data science, ML engineering, and software architecture, with hands-on leadership of real-time and batch deployments and MLOps/LLMOps across Azure, GCP, and AWS. Beyond engineering, he bridges industry and education as an Adjunct Instructor at Northwestern University’s MSAI program and an Assistant Professor at Escuela Colombiana de Ingeniería, mentoring startups and contributing to open-source AI. Based in Chicago, he is known for turning raw ideas into production-grade systems that empower teams and push the AI field forward, actively shaping the industry’s trajectory of LLMOps.
8 years of coding experience
5 years of employment as a software developer
Postgraduate Degree in Artificial intelligence and Machine Learning, Postgraduate Degree in Artificial intelligence and Machine Learning at The University of Texas at Austin
Bachelor of Science in Computer Science and Mathematics, Engineering, 3.7 GPA, Bachelor of Science in Computer Science and Mathematics, Engineering, 3.7 GPA at Davis and Elkins College
Master of Science in Business Intelligence and Analytics, Data Science, GPA: 3.92, Master of Science in Business Intelligence and Analytics, Data Science, GPA: 3.92 at Rockhurst University
Software engineering and mathematics, Ingeniería de software y matematicas, 8.0, Software engineering and mathematics, Ingeniería de software y matematicas, 8.0 at Universidad Politécnica de Madrid
Spanish, English