Sebastian Kochman
Member Of Technical Staff at Microsoft
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolSebastian Kochman is a research-focused software engineer with 10+ years at Microsoft building production-scale AI, distributed systems, and reinforcement learning solutions. He has driven ML productization across Azure, Dynamics 365, and Azure OpenAI—authoring early safety models for Azure OpenAI and leading LLM fine-tuning and agent work closely with OpenAI. His background spans low-level distributed systems (Azure AD, replication and disaster recovery) to applied RL and contextual bandits in recommender and personalization services, blending rigorous engineering with research sensibilities. Comfortable in Python, C#, PyTorch and large-scale platforms, he repeatedly moves prototypes into resilient, reusable infrastructure. Based in Redmond, he pairs an MS in Distributed Systems with Stanford AI coursework, reflecting both formal study and hands-on systems design. Unusually, his career threads both deep systems engineering and modern generative-AI safety work, making him adept at bridging reliability and cutting-edge model capabilities.
9 years of coding experience
15 years of employment as a software developer
MS, Computer Science - Distributed Systems, MS, Computer Science - Distributed Systems at Poznan University of TechnologyStanford Center for Professional Development, AI certificate, Stanford Center for Professional Development, AI certificate at Stanford University
Stackoverflow
49reputation
1kreached
0answers
4questions
Github Skills (76)
sdk10
azure-sdk9
azure9
deep-reinforcement-learning9
parallel9
python9
azure-functions9
optimization9
ray9
reinforcement-learning9
java9
deep-learning8
hyperparameter-optimization8
azure-batch8
windows-containers8
Programming languages (3)
Github contributions (5)
sebastko/freshinteriors
Feb 2025 - Mar 2025
Contributions:22 pushes in 1 month
sebastko/spinningup-simple-install
Jul 2022 - Sep 2022
Modified OpenAI's spinningup to use environments exploiting revealed randomness
Contributions:6 pushes, 2 branches in 1 month
exploitingopenaimodifiedrandomnessenvironments
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