Experience & Education

2010 – 2014

Carnegie Mellon University

Bachelor’s degree in Computer Science with a focus on machine learning and natural language processing. Research and coursework in deep learning, optimization, and applied ML for decision support.

Professional Experience

2015 – 2020

Amazon

ML Engineer and later Applied Scientist in the Advertising team. Built and deployed models for targeting, forecasting, and creative optimization. Owned end-to-end pipelines from feature engineering and training to A/B testing and production monitoring.

Current Role

2021 – Present

Nexsas

As Lead AI Engineer, designing and implementing the core ML systems that power our marketing automation and insights. Building models for audience segmentation, budget optimization, and creative performance—with a strong focus on interpretability and client trust.

Key Responsibilities

• Design, train, and deploy ML models for marketing use cases
• Maintain and improve our ML platform, feature stores, and experimentation framework
• Collaborate with product and engineering to align models with business and client needs