John Pothier

Senior Software Engineer at Lambda

John Pothier has diverse work experience in various software engineering roles. John is currently working as a Senior Software Engineer at Lambda since November 2021. Alongside this, they are also the Founder of scribbo.app, a platform for writing novels and short stories, since July 2021.

Previously, John worked at iZotope, Inc. where they held multiple roles. John started as a Software Engineer in July 2016 and developed firmware and mobile applications for their Spire Studio product. Later, they became a Senior Software Engineer from February 2019 to June 2021, and finally a Staff Software Engineer from June 2021 to July 2021.

Before iZotope, John worked at Yesware from August 2015 to July 2016 as a Software Engineer. John was responsible for developing an Outlook add-in and adding features to the Yesware backend.

Prior to that, John worked at Microsoft from July 2014 to July 2015 as a Software Engineer, focusing on developing and testing Office 365 applications.

John also has experience working as an On-Call Tutor at Tufts University from September 2013 to May 2014, where they provided tutoring services in various math subjects. Additionally, John worked as a Research Assistant at Tufts University in the summer of 2013, conducting machine learning research and developing mathematical frameworks and algorithms.

John started their career as a Development Intern at Eze Software Group from June 2012 to January 2013, where they worked on debugging server and client-side code and conducted performance analysis on their financial trading platform.

Overall, John Pothier has a strong background in software engineering, with a focus on developing and testing applications, and experience in leadership roles as well.

John Pothier attended Tufts University from 2010 to 2014, where they earned a Bachelor of Science (BS) degree in Computer Engineering and a Bachelor of Science (BS) degree in Mathematics.

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Brooklyn, United States

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Lambda

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Lambda provides computation to accelerate human progress. They're a team of Deep Learning engineers building the world's best GPU workstations and servers.


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201-500

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