Summary
Principal Engineer with 10+ years of experience building scalable, privacy-aware, developer-first platforms across AI/ML and analytics. Trusted leader in privacy infrastructure, secure computation, and platform architecture. Proven cross-functional influencer with a track record of delivering systems that scale and endure.
Experience
AWS – SageMaker — Principal Engineer (May 2024 – Present)
Lead engineering strategy for scalable AI/ML developer platforms within SageMaker AI.
Currently leading innovation on SageMaker HyperPod, focused on improving interactive ML/AI workflows.
AWS – Clean Rooms — Principal Engineer (Apr 2022 – May 2024)
Shaped the technical vision and architecture for AWS Clean Rooms, a secure collaboration platform for multi-party data analysis.
Guided the design of key privacy-preserving features including differential privacy and ML support, influencing long-term product strategy and cross-org execution.
Played a central role in shaping the product through hands-on technical leadership, resolving cross-team disputes, and mentoring senior engineers.
Amazon – Privacy Engineering — Sr. SDE → Principal Engineer (Oct 2016 – Oct 2022)
Invented attribution algorithm with noise-removal on obfuscated data.
Introduced SMPC protocols in collaboration with crypto teams.
Built Amazon’s first clean room; promoted for long-term cross-org impact.
Amazon – Social Marketing Tech — SDE II (Oct 2014 – Sep 2016)
Amazon – Affiliate Marketing Tech — SDE I (Jul 2011 – Sep 2014)
Project Highlights
Privacy-Preserving Attribution: Introduced SMPC for secure measurement, aligning legal and engineering.
AWS Clean Rooms: Architected scalable collaboration platform.
Core Skills
Platform Architecture • AI/ML Infrastructure • Privacy Engineering • Secure Computation • Distributed Systems • Attribution Modeling • Differential Privacy • SMPC • Data Clean Rooms • Developer Experience • AWS • Spark SQL • Technical Strategy
