I am a Senior Artificial Intelligence / Machine Learning and Engineering Executive with a PhD in Strategy and Applied Stats, over a decade of experience in finance, 10+ years in leading data science, data engineering and DevOps teams, within Technology, Healthcare and Financial Services.
As a senior leader, I have assembled, operated, and managed the moving parts needed to successfully launch multi-product AI/ML groups within larger organizations. I have transformed four Fortune 100 companies with AI/ML, integrating complex technological infrastructure, reducing technical debt, and ensuring future flexibility and scalability.
Intellectually driven with a high degree of technical expertise, I’m a scientist and an engineer at heart. I love learning how to build and use new technology from the command line. I am recognized for being adept at presenting complex analyses in a clear and concise manner to technical and non-technical audiences, grounding my explanations in meaningful examples (and often pop culture references). I have spent the past year experimenting and building out generative AI solutions, unlocking access to large corpuses of data to non-technical audiences.
My ideal next role will expand on multiple skills within my toolset, leading and scaling a technical team, with the end goal of becoming a CTO.
Tech Strategy for Organizations • AI Transformation/Scaling • Python • PostgreSQL• R • Data Science • Applied Statistics • Natural Language Processing • Data Visualization • Machine Learning • Generative AI • Predictive AI • Network and Infrastructure Design • Cloud Infrastructure (AWS, Azure) • Docker • Kubernetes • JupyterHub • Strategic Planning • Project/Program Management • MLOps • LLMOps
