Orby AI
Sanjari Srivastava is a Machine Learning Engineer at Orby AI since June 2023, with prior experience as a Graduate Research Assistant at Stanford University from September 2022 to March 2023, working under Professor John Mitchell. Previous roles include a Machine Learning Intern at Eightfold and a Course Assistant for multiple computer science courses at Stanford University. Sanjari also served as a Member Of Technical Staff at Rubrik, Inc. from June 2017 to September 2021 and completed a Summer Internship at Nutanix in 2016. Sanjari holds a Master of Science in Computer Science from Stanford University and a Bachelor of Technology from the Indian Institute of Technology, Kanpur, along with a 12th-grade certification in Computer Science from Delhi Public School, Jodhpur.
Orby AI
According to a McKinsey Future of Work report, 60% of jobs have at least 30% of the work that is repetitive and automatable. Much of that work entails processing payments across finance and accounting departments, ticket resolution for customer support, and inputting lead management data for sales teams. Orby provides a unique "observe, learn, and automate" end-to-end experience. Orby observes a user’s activities, identifies repetitive work steps and automatically generates code that ultimately automates these tasks. Moreover, Orby works behind the scenes to continuously learn from human feedback, becoming smarter over time with no coding involved whatsoever.