Transforming AI into real-world solutions with 25 years of experience building and scaling AI-based systems at enterprise and internet scale.
View on LinkedInWith nearly 30 years in AI and machine learning, I have dedicated my career to solving complex challenges at scale. A graduate of the University of Washington, I began at Intel, gaining hands-on experience across the full technology stack before transitioning into AI-driven leadership roles. At Microsoft, I led advancements in speech recognition and security, including the development of Cortana's backend and Windows Defender. My time at Meta focused on optimizing AI-powered search ranking, while at Amazon, I played a key role in scaling Alexa's natural language understanding capabilities.
Throughout my career, I have led groundbreaking advancements in AI, machine learning, and search technologies. At Amazon, I played a pivotal role in scaling natural language understanding for Alexa, ensuring more accurate and intelligent responses. My leadership at Meta drove search ranking innovations, impacting billions of daily searches. At Microsoft, I spearheaded AI-driven projects, including advancements in speech recognition and Natural Language Understanding for Cortana and security solutions like spam filtering and Windows Defender anti-virus. Earlier in my career, I developed machine learning-based content filtering at Rulespace, which later became the foundation for Bing Safe Search.
At Techquity, I bring my deep expertise in AI and machine learning to help clients develop and execute AI strategies that drive measurable business value. I specialize in identifying AI opportunities, optimizing deployment at scale, and ensuring organizations make informed AI investments. By leveraging decades of experience, I help companies transition from AI experimentation to tangible, production-ready solutions.
