Priyadarshan Kolte

Co-Founder & CTO at Baffle

Priyadarshan Kolte is the co-founder and CTO of Baffle, Inc. Priyadarshan has over 7 years of experience developing software for cloud security. Priyadarshan's products encrypt data that is stored and processed in the cloud to make data breaches irrelevant. Prior to Baffle, they were a Principal Scientist at Texas Multicore Technologies (TMT) where they developed the compiler and runtime for the SequenceL parallel language. Priyadarshan also served as a Senior Software Team Leader at PMC-Sierra where they developed communication protocols for Wintegra's network processor. Wintegra was acquired by PMC-Sierra in 2010. Prior to that, they were a Senior Staff Scientist at Motorola Semiconductor where they enhanced compiler optimizations and parallel code generation in C/C++/Fortran compilers for PowerPC. Priyadarshan also developed optimized DSP programs for packet telephony for StarCore.

Priyadarshan Kolte has a Ph.D. from Oregon Health and Science University in Computer Science, and a degree from Clemson University in Electrical Engineering and Computer Science. Priyadarshan also has a degree from Birla Institute of Technology and Science in Electronics and Instrumentation Engineering. Priyadarshan has entrepreneurship training from The University of Texas at Austin.

Priyadarshan Kolte is the Co-Founder & CTO of a small team. Priyadarshan's colleagues include Sumandra Majee (Chief Product Architect), Spence Jackson (Chief Software Architect), and Min-Hank Ho (VP, Product Development Operations). The people who report to Priyadarshan Kolte include Rajan Palanivel (VP, Engineering).

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San Francisco, United States

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Baffle

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Baffle secures data in the cloud and when shared across the entire analytics pipeline with no performance impact on the user experience. Proven in large-scale environments, only the Baffle Data Protection Service de-identifies sensitive information with zero application changes so companies can responsibly move more data, faster, to the cloud for privacy-preserving analytics in artificial intelligence (AI) and machine learning (ML).


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11-50

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