Nate Le

Senior Product Manager at Kindred AI

Nate Le has a diverse work experience spanning various industries. Nate is currently working as a Senior Product Manager at Ocado Technology since March 2023. Prior to that, Nate held the position of Principal Product Manager at B-Yond from December 2022 to March 2023. Nate also worked at AltaML as a Product Manager from December 2021 to December 2022, and as an Associate Product Manager from May 2021 to December 2021.

Before joining AltaML, Nate founded PYRCH.io, a Cyber Security research and development company, where they served as the Founder from November 2019 to April 2021. Prior to that, they worked at TD as a Credit Risk Analyst from May 2020 to February 2021.

Nate has entrepreneurial experience as well. Nate founded Supply Kings, a company specializing in manufacturing aluminum products and plastics. Nate served as the Founder and Head of Product from December 2012 to November 2019.

Additionally, they have experience in sales and finance roles. Nate worked at System7 Aerospace as a Global Sales Manager from October 2018 to April 2019. Nate also worked at BMO Capital Markets as a Quantitative Analyst in 2016 and at Scotiabank as an Equity Research Analyst in 2015.

Nate Le's education history includes a Bachelor of Commerce degree in Financial Mathematics from the University of Alberta and an Associate's degree in Business/Managerial Economics from Medicine Hat College. Nate also holds several certifications, including the University of Alberta Financial & Valuation Modeling Seminar from Wall Street Prep and various courses in Artificial Intelligence, Data Science, Python Programming, Machine Learning, and Deep Learning from Coursera.

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Kindred AI

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Kindred is a robotics and artificial intelligence (AI) company that develops intelligent robots to enhance the industrial workforce. Its purpose is to augment human labor with AI robot partners, and to fully innovate commerce fulfillment operations. At the core of Kindred’s cutting-edge technology are proprietary platforms such as AutoGrasp™, developed to operate robots autonomously in dynamic environments. Its team of scientists, engineers, and business operators have set a new standard for reinforcement learning for robots.