Distributive Network
Erin Peterson's work experience began in 2014 as a Dock Hand at Confederation Basin Marina in the City of Kingston. From 2015 to 2016, they worked as a Cashier Customer Service at Farm Boy Inc. In 2016, they joined Landmark Cinemas Canada as a Crew Member. Erin then became an Engineering Student - Traffic at the City of Kingston from 2018 to 2020. Erin also worked at Bell from 2020 to 2021 as an AI & ML Product Manager Co-Op. Starting in 2019, Erin worked at Queen's University, first as an Event Staff and later as a Home Events Supervisor until 2022. Currently, they are employed as a Software Developer - Artificial Intelligence Task Force at Distributive since 2022.
Erin Peterson has a strong educational background in computer engineering and law. Erin started their education journey in 2013 when they obtained their high school diploma from Kingston Collegiate Vocational Institute. After completing high school, Erin went on to pursue their undergraduate degree in Computer Engineering at Queen's University from 2017 to 2022. During this time, they also pursued a Certificate in Law at Queen's University from 2019 to 2022.
In addition to their academic achievements, Erin has obtained several certifications. In 2015, they obtained a VHF Radio License. In 2013, they completed the Babysitting certification offered by Red Cross Youth. Erin also holds a certification in Equity, Diversity, Inclusion, and Indigeneity, which they obtained from Queen's University in April 2022. Lastly, Erin has a certification in First Aid and CPR-C, which was obtained from St John Ambulance.
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Distributive Network
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Distributive revolutionizes the way organizations approach computing - the Distributive Compute Protocol (DCP) is a hybrid and flexible distributed computing framework that eliminates complicated devOps, cloudOps, containerization, and Lift-and-Shift efforts. With DCP, developers can focus on writing code while DCP automatically handles server and cloud instance management. DCP distributes data processing tasks to on-prem servers, computers, and IoT devices before consuming cloud resources, thereby reducing cloud spend by up to 90% and keeping data private and on-prem. DCP provides a unified analytics engine for big data processing both on-prem and in the cloud, making it a versatile and powerful solution. Choose Distributive and let DCP accelerate your data processing and analytics efforts with ease.