Summary
Sarvesh Kapre is a cybersecurity-focused software engineer with 9 years of experience, currently a Member of Technical Staff at OpenAI. He previously led product security initiatives at Atlassian and at LinkedIn built secure ML-enabled applications, collaborating with ML engineers to ship secure LLM-related products and automating asset discovery and security scanning for 30+ applications, reducing risk exposure by 90%. At LinkedIn he scaled the InfoSec team from 20 to 160 engineers, led cross-functional security reviews, and orchestrated large-scale migrations to SSO via Azure AD. He has hands-on experience across full stack and cloud, using Python, JavaScript, Azure, Kafka, HDFS, MySQL, PowerBI, Grafana, and more to design secure architectures and incident response workflows. His open-source/engineering footprint includes contributing to Android static analysis tooling and building a Python-based PCAP analyzer during his capstone, reflecting a hands-on tinkerer who loves new tech. Based in Sunnyvale, CA, he holds an MS in Cybersecurity and Information Assurance from Northeastern University and a BE in Computer Science from KJ Somaiya College of Engineering.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at KJ Somaiya College of Engineering, Vidyavihar
Master of Science (M.S.), Cybersecurity and Information Assurance, Master of Science (M.S.), Cybersecurity and Information Assurance at Northeastern University
English, Marathi, Hindi