Edgify
Timor Kalerman's work experience begins in 2006 when they served as a System Administrator in the Israeli Defense Forces (IDF) until 2010. Timor then joined Netcom (Malam-Team Communications) as a Security Architect from 2010 to 2011.
In 2011, Timor joined Leverate as an Integration Engineer responsible for deploying and maintaining Leverate's products. From 2014 to 2015, they worked as a Technical Support Team Manager, overseeing the recruitment and management of a 2nd level technical support team. From 2015 to 2019, Timor held the position of DevOps and Integration Team Manager, leading a team of integration engineers in the deployment and maintenance of Leverate's products.
Since 2019, Timor has been working as a DevOps Tech Lead at Edgify, where they are responsible for implementing the DevOps needs for the company's AI and ML systems. Timor focuses on building tools for infrastructure automation and maintenance, as well as managing an on-premise SBC cluster.
Timor Kalerman attended Amal-Bet College from 2014 to 2016, where they pursued a degree in Software Engineering. Their field of study focused on Computer Software Engineering. Additionally, they obtained a certification in Software Engineering (Practical Engineer) from Amal-Bet College Petah-Tiqwa. The specific month and year of obtaining the certification are not provided.
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Edgify
Edgify is a developer of a predictive personalization technology used to analyze a user's photos on their phone. Its technology captures consumers' changing needs, offering predictive accuracy that can be integrated with brands' customer relationship management systems and recommendation platforms that enable clients to get markettargeting capabilities and to capture the ever-changing needs of their consumers.Edgify also develops a distributed yet collaborative framework that enables users to train complete deep-learning and machine-learning models directly on their own edge devices, without the need to transfer any of the data to the cloud. The company's framework gives any edge unit the ability to run Deep Learning and AI training locally, without the need to extract the data to a server or having to pay the network costs of Model building.Edgify was founded in 2015 and is based in London, England, UK.