Sravan Puttagunta

Sravan Puttagunta

Founder, CEO, And Chief Of Technology & Research @ Hyperspec AI

About Sravan Puttagunta

Sravan Puttagunta is the Founder, CEO, and Chief of Technology & Research at Hyperspec.ai, where he focuses on privacy-enabled AI applications. He has a background in computer engineering and has held leadership roles in various technology companies, including Civil Maps and Samba TV.

Work at Hyperspec AI

Sravan Puttagunta serves as the Founder, CEO, and Chief of Technology & Research at Hyperspec.ai since 2019. In this role, he has focused on developing privacy-enabled camera pipelines using PyTorch, emphasizing data privacy in artificial intelligence applications. His leadership at Hyperspec.ai reflects a commitment to innovation in technology and research.

Previous Experience in Technology

Prior to his current role, Sravan Puttagunta held several significant positions in the technology sector. He was the CEO of Civil Maps from 2013 to 2019, a company that was acquired by Luminar. Before that, he worked as a Senior Engineer and Algorithm Developer at Samba TV from 2010 to 2013. His career began with a role as a FileMaker Consultant at Mann Consulting from 2008 to 2010, and he also interned as a Verification Engineer at Hewlett-Packard in 2007.

Education and Expertise

Sravan Puttagunta holds a Master's degree in Digital Signal Processing, Audio and Image Processing from the University of California, Berkeley, where he studied from 2008 to 2010. He earned a Bachelor of Science in Computer Engineering from California State University, Chico, from 2004 to 2008. He briefly studied at Stanford University in 2015, further enhancing his knowledge in technology and research.

Innovative Projects and Contributions

Throughout his career, Sravan Puttagunta has managed and launched Project Orion in collaboration with Daimler, demonstrating his expertise in automotive technology integration. He developed a 360 camera kit, showcasing his innovative approach to immersive technology solutions. Additionally, he designed custom AWS AMIs for video processing pipelines and created an automated video encoding pipeline on Elastic Transcoder, highlighting his skills in cloud infrastructure optimization.

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