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Raja Mulpuri

Head, Global Pre-Sales & Product Management at HEAL Software Inc.

Raja Mulpuri has a comprehensive work experience in the technology industry. Raja is the Head of Global Pre-Sales and Product Management at HEAL Software Inc., a position they have held since January 2020. Prior to this, Raja worked at Appnomic Systems Pvt Ltd from July 2011 to August 2022, where they served as the Associate Vice President of Product Management and Solutions. Raja'sresponsibilities included managing the Appnomic product stack, providing on-field solutions, and supporting the sales team in closing deals. Raja also has experience at Sanovi Technologies Corp, where they worked as a Technology Consultant from May 2002 to July 2011. During their time at Sanovi, Raja specialized in disaster recovery networks, high availability storage area networks, and the installation and configuration of SAN technologies. Raja also played a role in selling and supporting Sanovi's Disaster Recovery Management software. Additionally, Raja held various roles at Sanovi Technologies, including Head of Middle East and Africa from March 2009 to July 2010, and Head of Pre-Sales in India and the Middle East from June 2005 to July 2010. In these roles, they were responsible for market identification, partner development, and positioning Sanovi's offerings to prospects. Earlier in their career, Raja worked at Sanrise as a Software Engineer from April 2001 to May 2002, and at SANware Storage Solutions as a Software Architect. Raja also served as a Team Lead at MANAtone Softech India Pvt. Ltd from August 1999 to April 2001, where they played a key role in product design and development.

Raja Mulpuri earned a Bachelor of Science (BSc) degree in Computer Science from Osmania University, where they studied from 1992 to 1995.

Location

Bengaluru, India

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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.


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Employees

51-200

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