Partha Chail

Software Engineer at SimpleMachines

Partha Chail has been working in the software engineering industry since 2000. Partha began their career as a Software Engineer at Digital Care India Pvt Ltd, where they developed an accounting module for a hospital using Digital Unix and Oracle Forms. In 2002, they moved to Paragon Solution as a Consultant and worked on SASI (US Education software) in C++. In 2003, they took a position at Lionbridge as a Software Engineer, where they worked on US Railtrack signalling systems and utilized templates extensively along different design patterns. In 2004, they joined Geometric Ltd. as a Senior Software Engineer. In 2005, they moved to 3DPLM Software Solutions Limited as a Senior Software Engineer and worked on CATIA Filemenu enhancement and maintenance project. In 2007, they joined Bentley Systems as a Senior Software Engineer and developed a binary compatibility check tool to find differences between two versions of SDK. In 2012, they joined LSI Corporation as a Software Engineer Staff. In 2014, they moved to Intel Corporation as a Software Engineer and worked on SDK of Network acceleration engine in C and developed a functional model in C++ for hardware engine. Partha also developed a performance analysis framework for analyzing regex rules and a framework for faster offline execution of machines using sockets and Ethernet packets. Currently, they are employed at SimpleMachines, Inc. as a Software Engineer.

Partha Chail's education history includes a Master of Computer Applications (MCA) from Amravati University from 1997 to 2000, a Bachelor of Science (BSc) in Electronics from SFS college, Nagpur from 1994 to 1997, a Higher Secondary (12th) from Anandamath Vidyapith from 1991 to 1993, and a Secondary Education (10th) from Ramakrishna mission boys home high school, Khardha from 1985 to 1991.

Location

Pune, India

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SimpleMachines

SimpleMachines Composable Computing Platform gives software developers the power to dramatically increase their application performance by optimizing the very hardware it runs on. It is the world’s first easily customized platform to accelerate AI and other data-intensive applications by reconfiguring the underlying hardware on the fly.


Employees

51-200

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