Vivek Tripathi
About Vivek Tripathi
Vivek Tripathi is a Staff Software Engineer at Handshake, where he has worked since 2024. He has extensive experience in software engineering, having previously held senior roles at Infor and GT Nexus, and has contributed to various significant projects in the field.
Work at Handshake
Vivek Tripathi currently serves as a Staff Software Engineer at Handshake, a position he has held since 2024. In this role, he is involved in various engineering projects that leverage his extensive experience in software development. Prior to this role, he worked at Handshake as a Senior Software Engineer from 2022 to 2024, contributing to significant projects within the organization.
Previous Experience at Infor
Before joining Handshake, Vivek Tripathi worked at Infor as a Senior Principal Software Engineer from 2014 to 2022. During his tenure, he implemented the first version of the Live Ocean capability for the SCV Product, marking a significant IoT initiative for the Infor-Nexus SCV product suite. He also played a key role in designing and developing a high-volume Scan and Pack system.
Experience at GT Nexus
Vivek Tripathi was employed at GT Nexus as a Senior Software Engineer from 2007 to 2014. In this role, he contributed to various software engineering projects, gaining valuable experience in the field. His work during this period laid the foundation for his subsequent roles in software development.
Education and Expertise
Vivek Tripathi holds a Bachelor of Science degree from Doctor Ram Manohar Lohia Awadh University. He also earned a Master's degree in Computer Science from Dr. A.P.J. Abdul Kalam Technical University, where he studied from 2004 to 2007. His educational background provides a solid foundation for his expertise in software engineering and product development.
Key Projects and Contributions
Throughout his career, Vivek Tripathi has been responsible for the overall product design and development of a traceability system that supports aggregation for different parent and child traceable items. He led the development of a stats and machine learning-driven idle detection system, focusing on building a data pipeline from supply chain objects to the process monitoring system. Additionally, he designed and developed the SCV Event Broker, a complex high-volume event-driven data processing system crucial for data inflow in downstream systems.