Startup leader in product, marketing and M&A, and founder with startup-to-exit experience. Led product and marketing growth journeys for enterprise startups that went IPO or were acquired, and developer tooling transformation to power the data-to-AI shift at Meta's Infrastructure team (the stock took off 🚀). Go-getter: startup founder, early at two startups to exit, and with boots-on-ground M&A experience.☀️ Domain is Dev and Ops: IDEs, Version Control, Builds and Deployment, QA Automation, Performance Monitoring, Incident Management, and Reliability. Led a platform PM team at Meta, building dev and MLOps tools for 50,000 engineers. Led PM, Marketing, and Alliances for DevOps tools company 0→$100M ARR that went IPO. 🚀 Meta's infra software tools analyzed 100 TB/sec of data from 3.7B users, 14M servers, and 75K ML models using products at the world’s largest data and AI infrastructure, where I recruited a 100% diverse and impact-oriented PM team. Shifted a large engineering team from building reactive data dashboard tools to proactive real-time monitoring, delivering AI infrastructure instead of data querying tools.🚀 At Keynote, pioneered a $1.86B market by launching cloud products that ingested and analyzed trillions of data points, adding 40% of revenue, leading to acquisition for 49% premium over EV. Accelerated land-and-expand revenues from $50K/deal to $300K-$1M/deal ARR with enterprise PLG strategies such as dev trials, product suites, and industry indices. Transformed point product into an enterprise suite (acquired by Private Equity firm Thoma Bravo).🚀 Founder of Dossier, a CRM conversational intelligence platform automating data and workflows in Slack, Salesforce, HubSpot, Outlook, and Zendesk, a pioneer in CRM workflow automation.🚀 At MIT, delivered research in AI cognition and parallel programming at the AI Lab, while studying Comp Sci & Eng, playing on golf and squash teams, leading student councils, and winning writing awards.🎁 Recognized among 1B LinkedIn users as “Top Artificial Intelligence (AI) Voice” for AI expertise. Interviewed by CNBC, and PE companies for insights on AI infrastructure in a new industry.