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Piotr Niedzwiedz

Member of Technical Staff @OpenAI

Warsaw, PL
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jan 2026 — Present

Member of Technical Staff @OpenAI

Building training tools for the world’s best researchers advancing toward AGI that benefits all of humanity.

EDUCATION

2008 — 2010

University of Warsaw

Bachelor's degree, Computer Science

2008 — 2011

University of Warsaw

Mathematics

2010 — 2013

University of Warsaw

Master of Science (MS), Computer Science

SKILLS

BashComputer ScienceNetwork DesignJavaEclipseWeb DevelopmentC++Machine LearningBig DataObject Oriented DesignOpenflowHadoopDjangoOpenstackCryptographySubversionMysqlDistributed SystemsMathematicsPerlSoftware EngineeringMapreduceDatabasesProject ManagementCssGraphic DesignApache SparkCudaDesign PatternsSoftware DevelopmentPythonLinuxLatexHaskellGitHibernateAlgorithmsCloud ComputingCProgramming

ABOUT PIOTR NIEDZWIEDZ

Hey, I am Piotr, and I am the CEO of neptune.ai. Day to day, apart from running the company, I focus on the product side of things. Strategy, planning, ideation, getting deep into user needs and use cases. I really like it.My path to ML started with software engineering. Always liked math and started programming when I was 7. In high school, I got into algorithmics and programming competitions and loved competing with the best. That got me into the best CS and Maths program in Poland, which, funny enough, today specializes in machine learning.Did internships at Facebook and Google and was offered to stay in the Valley. But something about being a FAANG engineer didn’t feel right. I had this spark to do more. Build something myself.So with a few of my friends from the algo days, we started Codilime, a software consultancy, and later a sister company, Deepsense.ai machine learning consultancy, where I was a CTO. When I came to the ML space from software engineering, I was surprised by the messy experimentation practices, lack of control over model building, and a missing ecosystem of tools to help people deliver models confidently. It was a stark contrast to the software development ecosystem, where you have mature tools for DevOps, observability, or orchestration to execute efficiently in production.And then, one day, some ML engineers from Deepsense.ai came to me and showed me this tool for tracking experiments they built during a Kaggle competition (which we won btw). And I knew this could be big. Asked around, and everyone was struggling with managing experiments. I decided to spin it off as a VC-funded product company, and the rest is history.

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