HEAL Software Inc.
Imran Sharief has a diverse work experience, starting with their current role as an Enterprise Architect at Dynatrace since December 2022. Prior to that, they were working at HEAL Software Inc. from 2020 to 2023, where they served as a Product Delivery Manager and later as a Project Manager. Before HEAL Software, Imran worked at Appnomic (Infosys) from 2013 to 2019, holding the positions of Technical Lead and System Engineer. Imran'sresponsibilities at Appnomic included monitoring and troubleshooting network devices and servers for multiple customers, ticket creation, prioritizing, and assignment, as well as backup management. Imran also worked at Microland Limited from 2010 to 2013 as an Engineer in the NOC, where they were responsible for monitoring, troubleshooting, and ticket management for network devices and servers.
Imran Sharief's education history is as follows:
Imran attended Al-Ameen College in Bangalore from 2005 to 2010. During this time, they pursued a Bachelor of Commerce degree with a focus on Accounts. The college was affiliated with Bangalore University.
In addition, from 2005 to 2008, Imran also enrolled at the National Institute of Information Technology. Imran completed a Diploma of Education with a specialization in Computer Software Engineering.
Imran further attended Fatima school from 2007 to 2009 and obtained a qualification referred to as HSC, without specifying the field of study.
Aside from their formal education, Imran has obtained professional certifications. In June 2021, they acquired the Agile Scrum foundation certification from Simplilearn. Furthermore, Imran obtained the Dynatrace Associate Certified certification in March 2023 from Dynatrace.
This person is not in any offices
HEAL Software Inc.
HEAL Software is a preventive healing software for IT operations that fixes problems before they occur, which goes beyond the capabilities of today's AI-assisted APM and monitoring tools. HEAL can recognize signals that are indicators of future incidents and eliminate factors that can cause problems, as opposed to AI-driven monitoring toolsthat send alerts or find problem sources when an incident occurs. HEAL employs unsupervised AI to learn how a system operates under normal conditions and creates a dynamic baseline for the entire system and workload behavior; as a result, it can precisely signal upcoming issues and assists the ITOps team in problem prevention.