A senior machine learning engineer and executive with extensive experience designing revenue-generating ML systems at major technology platforms. Specializes in advertising auction optimization, ad ranking engine design, and AI-driven business intelligence systems. As Cofounder and CTO of a technology startup, applies machine learning expertise to complex transaction workflows including mergers and acquisitions and debt financing.

Technical background includes graduate training in Statistics and Operations Research from a top-tier research university, combined with hands-on experience optimizing advertising technologies for leading companies. Areas of expertise encompass conversational AI agents, semantic search systems, graph neural networks, feature engineering for large-scale production systems, and ML infrastructure architecture.

Formal Education

  • Master of Science in Statistics and Operations Research from a top-tier research university, with minor in Computer Science
  • Bachelor of Arts in History and Asian Studies from a leading research university

Career Highlights

  • Cofounder and Chief Technology Officer of a technology startup, building AI tools for complex transaction lifecycle management in legal technology and finance
  • Manager of Data Science and Machine Learning at a major technology platform, leading a business solutions AI team and designing an ad ranking engine
  • Senior Data Scientist specializing in auction systems at a leading technology company, conducting research and optimization of advertising auction systems, working with prominent companies on substantial revenue impact
  • Data Science and Machine Learning Lead at a prominent online platform, establishing and leading teams responsible for rebuilding data infrastructure, and growing a team of engineers in designing ML features that generated substantial incremental revenue
  • Consultant in Machine Learning and ML Applications, advising clients on cutting-edge technologies including conversational agents, semantic search, and graph neural networks

Expert Qualifications

  • Recognized authority on digital advertising technologies, machine learning model performance in production environments, and AI applications across business systems
  • Extensive experience optimizing complex algorithmic systems at scale, from ad auction mechanisms to feature engineering pipelines serving millions of users
  • Qualified to provide expert testimony and technical analysis on machine learning architectures, advertising technology infrastructure, AI model development and validation, and revenue attribution systems
  • Proven ability to communicate complex technical concepts in accessible terms, refined through leadership roles at major technology companies and consulting engagements