Summary
Marc-antoine Paré is an AI engineer-at-large with 12 years of experience building scalable, secure data systems for startups and research organizations, currently focusing on privacy-preserving AI and differential privacy for energy data. He led Privacy Engineering at Cruise, growing the team and shipping foundational systems like a Sensitive Data Map across a 14+ PB warehouse and a Least Access observability platform that quantified and reduced risky permissions. Previously he drove DOE-backed differential privacy releases at Recurve and scaled sensor-data backends and ETL pipelines to billions of metrics for global field deployments. Comfortable across Python, GCP, Postgres, and infra-as-code, he combines hands-on implementation with product-minded security and compliance work that uncovered and fixed DSR gaps across vendors. Based in Seattle, he repeatedly takes early-stage products from seed to Series A/B readiness by automating deployments, cutting operating costs, and designing audit-friendly architectures. A practical collaborator with experience interfacing with DOE, NREL, and public-health researchers, he brings a rare blend of privacy engineering, large-scale data ops, and field-deployed systems know-how.
12 years of coding experience
11 years of employment as a software developer
BS Mechanical Engineering, BS Mechanical Engineering at Georgia Institute of Technology
English, French