Director DS&AI - Agent Infrastructure Cloud Deployment MLOps at AstraZeneca
Barcelona, Catalonia, Spain
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Summary
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Senior
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Top School
Pablo Piskunow is a data science and AI leader with nine years of experience bridging academic physics research and production-grade ML systems, currently directing DS&AI efforts in agent infrastructure, cloud deployment, and MLOps at AstraZeneca. He has moved from postdoctoral research on topological quantum systems to leading GenAI and LLM deployments that automate HCP engagement and content generation, combining deep technical rigour with product-focused delivery. Pablo has led teams and startups, shipping end-to-end pipelines, scaling cloud orchestration, and introducing best practices for model ingestion, validation, and deployment across regulated environments. His background in quantum transport simulation and PhD-level physics gives him a rare strength in modeling complex systems and reasoning about edge-case behavior in ML pipelines. Comfortable in both fast-paced startups and large enterprises, he excels at translating scientific curiosity into robust, scalable AI products. Based in Barcelona, he brings a pragmatic blend of research depth, engineering leadership, and hands-on implementation of GenAI solutions.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at Universidad Nacional de C贸rdoba
Python Starters is a tool designed to streamline the process of initializing, managing, and updating project starters based on cookiecutter templates.
Contributions:35 PRs, 46 pushes, 33 branches in 1 day
cookiecuttergatsby-themepythontemplate
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Pablo Piskunow - Director DS&AI - Agent Infrastructure Cloud Deployment MLOps at AstraZeneca