Womply
Maxim Lakin has extensive experience in the field of machine learning and deep learning engineering. Maxim began their career in 2008 as a Physics PhD Student at the University of Massachusetts Amherst. In 2009, they were a Researcher at the Gravitational Wave Astronomy Summer School. In 2011, they became a Graduate Fellow at the Kavli Institute for Theoretical Physics. From 2014 to 2017, they worked as a Data Engineer at Edenworks, where they developed an API written in Golang for collecting streams of data from different sources, a Django web application for monitoring key indicators, a UI & backend for users to track operations, and an API to control the greenhouse actuators like lights, cooling, and heating. During this time, they also worked as a Lead Deep Learning Engineer at AIorDie.tv. From 2017 to 2019, they were a Deep Learning Engineer at Kelvin Inc. and, most recently, they have been a Machine Learning Engineer at Womply since 2020.
Maxim Lakin attended the University of Massachusetts Amherst from 2003 to 2008, where they earned a Bachelor of Science in Physics.
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Womply
Womply's mission is to help local businesses thrive in a digital world. Founded in 2011, Womply is a local commerce platform that provides apps, APIs, marketing, and financial tools to make local commerce happen for over 500,000 American businesses and their customers. All of Womply’s products and services are powered by the Womply Commerce Graph, a proprietary data asset that offers the most complete view of local commerce.