Abnormal Security is an AI-powered cybersecurity platform that protects businesses from the most sophisticated and personalized cyber threats by detecting and responding to behavioral anomalies. Unlike traditional security solutions, our platform uses advanced AI to understand human behavior and stop attacks that exploit human vulnerabilities, such as social engineering and insider threats. In a world where AI is accelerating both cybercrime and its defense, Abnormal provides the superhuman detection and autonomous protection organizations need to stay ahead, reduce costs, and focus on what matters most.

I was responsible for the $2B+/year Twitter ad engine. I led the Core Ads team, working on 1) AI + machine learning 2) large scale behavioral profiling and 3) data privacy, security & strategy.

I was the first product manager at TellApart and helped grew the business to >$100M/yr, working on 1) behavioral profiling 2) data privacy & security 3) real-time decisioning using distributed machine learning.

AdStack was a behavioral profiling advertising company designed to apply data science to advertising technology (rather than conventional rules + heuristics). AdStack built two products: 1) automatic conversion optimization for Facebook ads and 2) real-time email personalization for e-commerce companies. In September 2013, TellApart acquired AdStack to help retailers leverage customer data to improve email marketing.

Bloomspot was a online-to-offline advertising platform that used online ads to drive offline sales through behavioral profiling and cross channel / in-store conversion tracking & attribution.In December 2012, JPMorgan Chase & Co. acquired Bloomspot to expand its consumer marketing programs for merchants.

In 2007 I founded GamerNook, which was a social networking web site for gamers. I grew the product to over 100k+ members, and built an advertising business through online ads and esports sponsorships. Great product and amazing community, but bad business model :(

I worked as one of four "big data" software engineers on the Screening & Analytics team that developed client-facing interfaces and predictive analytics on top of one of the world’s largest financial databases.

I worked in the R&D Division in the System, Software and Science (S3) Laboratory in Harrow London. Research was focused on computer vision and machine learning for intelligence and defense clients (i.e. Royal Navy, Royal Air Force, etc)