Summary
Brian Fitzgerald is a machine learning engineer with 11 years of software engineering experience, now focused on post-training large language models and generative diffusion systems. He brings deep production ML and tooling expertise from Stability AI—where he built ControlNets, fine-tuning APIs, and safety classifiers—and applied robotics and perception experience from building LIDAR simulators and low-bandwidth video pipelines at EquipmentShare. At poolside he’s translating LLM capabilities into developer-facing tools that improve code generation and developer workflows. Comfortable across research, systems, and product engineering, he has a track record of shipping high-performance, memory-efficient inference systems and pragmatic integrations (Blender, Photoshop) that make research usable. Based in Greater St. Louis and active as @poolsideai on GitHub, he blends hands-on model engineering with practical deployment experience.
11 years of coding experience
11 years of employment as a software developer