Senior machine learning engineer and data scientist with extensive experience building and shipping production ML models at leading technology companies. Specializes in large-scale algorithmic optimization, bid threshold modeling for digital advertising platforms, recommendation systems, and growth optimization. Most notably, designed and deployed a bid threshold model at a major technology company that resulted in substantial cost savings and demonstrated measurable business impact at scale.

Co-founder of a mobile paywall company that achieved global deployment and significant commercial success. Founder with expertise spanning recommendation algorithms, time series forecasting, customer lifetime value prediction, and large-scale data engineering.

Formal Education

  • B.S. in Information Systems and Statistics from a top-tier research university
  • Candidate for MBA from a leading business school (with merit fellowship)

Career Highlights

  • Designed bid threshold model at a major technology company that resulted in substantial cost savings through algorithmic optimization
  • Co-founded a mobile paywall company and scaled it to global deployment with significant commercial success
  • Built A/B testing and optimization infrastructure deployed globally across numerous customer applications
  • Shipped machine learning models controlling news feed, notification ranking, and engagement features at a leading technology platform across multiple products
  • Developed growth algorithms at a consumer electronics company that expanded direct-to-consumer revenue through data-driven product strategy
  • Head of Algorithm and Machine Learning at an investment evaluation firm, building ML models to evaluate early-stage founders for investment decisions

Expert Qualifications

  • Deep expertise in machine learning systems architecture, particularly bid threshold modeling and recommendation algorithms at scale
  • Proven ability to translate algorithmic research into production systems with measurable business impact
  • Extensive hands-on experience with large-scale data pipeline engineering, inferential statistics, and predictive modeling
  • Industry experience spanning digital advertising, mobile applications, consumer electronics, and investment evaluation