Peter Neumark

Software Engineer @ ScaleAI

About Peter Neumark

Peter Neumark is a Senior Software Engineer at Splitgraph, with a diverse background in software development and product management. He has experience in various programming languages and has held multiple roles in notable companies, contributing to projects in ecommerce and martech.

Current Role at Splitgraph

Peter Neumark serves as a Senior Software Engineer at Splitgraph since 2021. In this role, he contributes to the development and enhancement of software solutions, leveraging his extensive experience in software engineering. His responsibilities include designing and implementing features that improve user experience and system performance.

Experience at Scale AI

Since 2023, Peter has been working at Scale AI as a Software Engineer in Budapest, Hungary. His role involves developing software solutions that support the company's initiatives in artificial intelligence. His expertise in backend systems and niche programming languages is instrumental in addressing complex technical challenges.

Professional Background

Peter Neumark has a diverse professional background in software engineering and product management. He has held various positions, including Technical Lead at marta., Software Developer at Ericsson, and Full Stack Software Engineer at Scarab Research. His experience spans multiple cities, including Budapest, Stockholm, and Vienna.

Educational Qualifications

Peter holds a Master's degree in Computer Science from Budapest University of Technology and Economics, which he completed from 2004 to 2009. He also studied at the University of North Carolina at Chapel Hill, where he earned a Bachelor's degree in Computer Science in 2004. His educational background provides a strong foundation for his technical skills.

Product Management and Technical Skills

Peter has product management experience in ecommerce and martech, focusing on onsite communication and product recommendations. He has a strong background in backend systems capable of handling user scales from 1 to 50 million. Additionally, he has experience with niche programming languages such as Clojure and Erlang, enhancing his technical versatility.

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