
AI workload optimization and research
Engineering Director at Microsoft | Founder at Mind Mosaic AI
As an engineering executive at Microsoft, my work centers on enhancing customer experience through AI-driven innovation, ensuring that technology meets real-world needs at scale. Leading distributed AI product development, I focus on building intelligent, high-impact solutions that drive efficiency, accessibility, and meaningful user engagement. Beyond corporate AI leadership, I am the founder of Mind Mosaic AI, a social enterprise dedicated to enhancing neurodivergent productivity through AI. At Mind Mosaic AI, I explore inclusive, AI-powered solutions that bridge the gap between technology and accessibility, ensuring that AI serves as a tool for empowerment rather than exclusion. Passionate about AI for social good, I am deeply invested in how intelligent systems can be designed to support diverse cognitive abilities. I believe AI should be ethical, human-centered, and purpose-driven, shaping a future where innovation is aligned with inclusivity and positive societal impact. My work spans responsible AI, human-centered design, and practical AI applications for neurodiversity, aiming to redefine workplace productivity, accessibility, and AI ethics. In addition to product development, I actively mentor startups in the BC ecosystem, helping founders navigate growth-driven AI innovation while ensuring ethical and scalable implementation. As a recognized leader in the AI space, I frequently speak at global AI and tech conferences, sharing insights on building ethical, impactful AI solutions and the future of responsible AI. My mission is to push the boundaries of AI while ensuring it remains a force for equity, accessibility, and social good.
I specialize in leveraging data, AI, and ML to help startups build scalable, intelligent solutions that drive growth and efficiency. My focus is on responsible AI adoption, optimizing data-driven decision-making, and creating impactful AI-powered products. I mentor startups on navigating AI ethics, scalability, and real-world applications.

Experienced in Microsoft Azure for building, deploying, and managing scalable AI and cloud solutions. Skilled in Azure Machine Learning, Azure AI Services, and Azure Databricks to develop data-driven applications.
Proficient in Tableau for data visualization, storytelling, and analytics. Skilled in creating interactive dashboards to drive data-driven decisions and growth.

AI workload optimization and research

Adaptive AI companion for mental health and speech augmentation

Invited member of the Forbes Technology Council, contributing thought leadership on artificial intelligence, distributed systems, healthcare technology, robotics, and software engineering. Publish articles and insights on emerging technologies, enterprise AI, and the practical application of intelligent systems at scale. Engage with a global community of technology executives, founders, and industry leaders shaping the future of innovation.