Key areas of work:
- AI-native software engineering platforms
- Autonomous engineering workflows for planning, implementation, testing and code review
- Engineering productivity and delivery automation
- Multi-agent AI systems and developer tooling
- Cloud-native platforms and distributed systems
- Architecture and delivery of business-critical and national-scale software systems
- Engineering turnaround and delivery recovery
- Technical strategy, AI transformation and engineering leadership
Design and build engineering systems that enable organizations to increase delivery capacity, standardize software development workflows, and improve engineering quality through AI-assisted automation.
Architect and lead the delivery of complex, cloud-native platforms and mission-critical software systems, including national-scale infrastructure where reliability, security and operational resilience are essential.
Lead engineering recovery and turnaround initiatives for high-risk software programs by assessing delivery risks, redefining technical architecture and scope, establishing realistic execution plans, rebuilding engineering organizations through rapid hiring and automations, and restoring predictable delivery for business-critical projects.
Define engineering operating models, technical strategy, delivery processes and engineering metrics to support scalable product organizations.
Lead cross-functional initiatives spanning engineering, product and operations, translating business goals into measurable engineering execution.
