Sandesh Puligundla

Technical Lead, Big Data And Cloud Engineering @ AIS

About Sandesh Puligundla

Sandesh Puligundla serves as the Technical Lead for Big Data and Cloud Engineering at AIS, where he specializes in real-time processing solutions for the healthcare, finance, and insurance sectors. He holds a Bachelor's degree in Computer Science Engineering from Vellore Institute of Technology and a Master's degree from The University of Toledo.

Work at AIS

Sandesh Puligundla has been serving as the Technical Lead for Big Data and Cloud Engineering at Applied Information Sciences (AIS) since 2020. In this role, he focuses on developing real-time processing solutions specifically designed for the healthcare, finance, and insurance sectors. His expertise in big data technologies and cloud engineering enables him to lead projects that enhance data processing capabilities within these industries.

Education and Expertise

Sandesh Puligundla holds a Bachelor’s degree in Computer Science Engineering from Vellore Institute of Technology, where he studied from 2005 to 2009. He furthered his education by obtaining a Master of Science degree from The University of Toledo, completing his studies from 2009 to 2012. His academic background provides a strong foundation for his extensive experience in machine learning and artificial intelligence applications tailored to specific industry needs.

Professional Background

Prior to his current position at AIS, Sandesh Puligundla worked at Accenture as a Data Engineering Specialist from 2017 to 2020. He also held roles at PNC, where he served as a Senior Software Engineer from 2014 to 2016 and as an Application Developer from 2013 to 2016. His experience at these organizations has contributed to his skills in data engineering and software development.

Experience in Machine Learning and AI

Sandesh Puligundla has extensive experience in applying machine learning and artificial intelligence within industry-specific contexts. This expertise allows him to develop innovative solutions that meet the unique challenges faced by sectors such as healthcare, finance, and insurance. His work emphasizes the integration of advanced technologies to improve data processing and analytics.

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