Building intelligent systems that scale. 5+ years turning data into products that millions use. Currently shipping ML at Big Tech.
I'm a data scientist who believes in building things that matter. Over the past 5+ years, I've developed machine learning models that serve millions of users, designed experiments that drive product decisions, and built data infrastructure that scales.
My approach combines rigorous statistical thinking with pragmatic engineering. I've worked across the full stack - from research and experimentation to production ML systems and data platforms.
Things I've built and shipped
Natural language processing chatbot leveraging transformer models to improve customer support response time. Built with PyTorch and deployed on AWS.
Predictive models using survival analysis to estimate customer lifetime value for e-commerce clients. Improved marketing ROI by 25%.
Demand forecasting models for product inventory optimization. Reduced inventory costs by 15% through improved prediction accuracy.
Top University • 2017
Top University • 2015
Coursera