Zscaler
Charanraj Thimmisetty, PhD, is a seasoned machine learning professional currently serving as a Principal Machine Learning Engineer at Zscaler since March 2024. Prior to this role, Charanraj held positions as Principal Machine Learning Engineer and Sr Staff Machine Learning Engineer at Palo Alto Networks from January 2021 to March 2024. Earlier experience includes a Data Scientist role at Cisco from July 2018 to January 2021, and as a Postdoctoral Research Scholar at Lawrence Livermore National Laboratory from August 2016 to July 2018. Charanraj also contributed as a Postdoctoral Researcher and Research Assistant at the University of Southern California between August 2011 and August 2016. Educational qualifications include a Doctor of Philosophy (PhD) and a Master of Science (MS) in Engineering from the University of Southern California, a Master’s degree in Engineering from the Indian Institute of Science (IISc), and a Bachelor of Technology (B.Tech.) in Engineering from JNTUH College of Engineering Hyderabad.
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Zscaler
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Zscaler enables the world’s leading organizations to securely transform their networks and applications for a mobile and cloud first world. Its flagship services, Zscaler Internet Access and Zscaler Private Access, create fast, secure connections between users and applications, regardless of device, location, or network. Zscaler services are 100% cloud-delivered and offer the simplicity, enhanced security, and improved user experience that traditional appliances or hybrid solutions are unable to match. Used in more than 185 countries, Zscaler operates the world’s largest cloud security platform, protecting thousands of enterprises and government agencies from cyberattacks and data loss.