Abhinav Sharma

Abhinav Sharma is a Staff Machine Learning Engineer and a founding member of Docusign’s AI organization. In this role, Abhinav has led the architecture and scaling of the platform into an enterprise-grade system that processes 100M+ agreements annually for 25,000+ customer accounts across five global geographies. His contributions and research involve recommendation systems, asynchronous processing pipelines, vector storage systems, inference engines, chat systems, and semantic clustering systems for context-rich documents. 

His professional background includes a tenure at Microsoft, where he served as a Senior Software Engineer for Azure AI Search and Azure Networking organizations. At Microsoft, Abhinav was responsible driving critical initiatives for the multi-billion dollar U.S. DoD JEDI program, including strengthening the security and audit posture of the services using differential privacy, regional service buildouts, and the delivery of a zero-touch secret rotation system for a fleet of tens of thousands of machines. He also developed continuous end-to-end integration testing frameworks to detect potential large-scale outages across 50+ Azure regions.

Abhinav holds an M.S. in Information and Data Science from the University of California, Berkeley. He also possesses an M.S. in Management Science and Engineering from Columbia University and a B.S. in Computer Science and Engineering from Manipal University. Outside of work, Abhinav spends his time learning about aviation systems, traveling different countries and playing tennis!