Director of ML Engineering & Agentic Systems at PayPal, focusing on leading teams to deliver LLM-based agentic systems and consumer-facing ML products at scale within the fintech domain. The role involves driving product and technical strategy, defining engineering health objectives, and building ML platform infrastructure.

Sr. Machine Learning Engineer at PayPal focused on designing, developing, and implementing ML models and algorithms for various applications, including recommender systems and ranking. The role involves building scalable ML pipelines, deploying models into production, and collaborating with cross-functional teams to enhance services and customer experiences. Requires experience with ML frameworks, cloud platforms, and production ML systems.

Staff ML Scientist focused on leading the strategy, development, and execution of AI-driven autonomous shopping experiences using agentic AI. The role involves developing and optimizing ML models, preprocessing data, deploying solutions, and collaborating with cross-functional teams.

Principal Product Manager for Agentic AI at PayPal, responsible for establishing product vision and strategy, influencing the roadmap, and building innovative and trustworthy AI products. The role involves deep experience with LLMs, autonomous agents, multi-step reasoning, AI workflow automation, and agentic AI concepts, with a focus on scaling these products in a regulated fintech environment. Key responsibilities include defining product strategy, influencing architecture, championing customer experience, and establishing best practices for AI governance and evaluation.