Vijaya Ramakrishna Varma Pothuri
Lead Software Engineer at Salesforce Inc.

Vijaya R Varma Pothuri is a highly accomplished lead software engineer with close to two decades of professional software engineering experience that focuses on AI-driven software and scalable system architecture. Throughout his career, Vijaya has spearheaded architecture and development with cutting-edge tools in Salesforce such as Einstein Campaign Insights and Einstein Behavior Score through AI and data science in order to enable actionable insights from customer behavior and campaign performance. His work with Einstein Attribution uses machine learning to analyze customer journeys and equips marketing teams to make educated, data-driven decisions toward better marketing outcomes.
Vijaya's technical experience spans a number of verticals, including past work with General Motors and Sears, where he led the migration of legacy systems into the scalable and distributed architecture. His strategic approach to re-architecting dealer applications at General Motors and designing real-time Inventory Management Systems at Sears greatly increased system performance due to streamlining their operations-a strong example of how SOA and microservices architecture can offer solutions to even the most complex system challenges.
Apart from technical leadership, Vijaya has a strong passion for mentoring and fostering innovation within his teams. He regularly assisted junior engineers in their growth and encouraged making use of new technology to solve business problems. His forward-thinking approach toward AI and machine learning drives his passion to help shape the future of software development in scalable, intelligent solutions that unlock the potential of data-driven decision making.
Vijaya has immense contributions towards the academic and professional community. He has been an energetic member of various technical program committees and peer-review boards, reviewing research communications in flagship conferences with a guarantee of quality. His thought leadership can be assessed through his many publications on contemporary topics- right from AI in cybersecurity to scalable microservices architecture. Currently, he contributes to research through articles, conference presentations, and peer-review activities related to AI and software engineering