Teams at Resolution

Drive organization-wide Lean and autoformalization strategy for AI-assisted mathematical research. Build proof harnesses, code review workflows, shared Lean libraries, reusable abstractions, and reliable automation infrastructure. Guide researchers and engineers on Lean architecture, conventions, tooling, tactics, and library design while improving project maintainability and performance. The role focuses on making large-scale agent-generated Lean reliable rather than writing proofs manually.

Design and operate secure research infrastructure for multi-cloud, high-compute AI workstreams. Harden CI/CD and IaC, implement supply-chain protections (SBOM, signing), sandbox automated agents with least privilege, enforce zero-trust segmentation and data protection, and enable compliance to support partnerships with frontier model providers.

Build and own Corporate IT and security for a research org: design endpoint/device management, implement Zero-Trust IAM, secure communications and email, enable secure collaboration with external AI labs, and turn compliance into research enabler while remaining a hands-on operator.