I work on large-scale insurance platform programs: core systems, integrations, digital journeys, and the operational discipline that keeps releases predictable. Alongside consulting, I run long-form research projects in ML, RL, and agentic systems—turning experiments into reusable architecture patterns.
Supported BAU streams by fixing broken delivery processes, clarifying team workflows, and reducing friction around digital implementation. Focused on pragmatic improvements that restored throughput and operational clarity.
Zurich — Release Process & Platform Standardization
Improved release processes and infrastructure management practices for a global pricing platform. Focused on repeatable release gates, clearer ownership, and standard architecture patterns that reduce operational surprises.
Helped deliver a new digital platform program end-to-end across multiple journeys and teams. Contributed to target architecture, delivery guardrails, and execution support across portals, APIs, and integration patterns.
Automated Trading Research Platform — ML + RL (2019–2020)
Personal research stack exploring market microstructure, dataset generation, and decision-making systems. Built a loop from realtime collection to offline training/backtesting, plus RL environment work to test constraints, rewards, and stability under regimes.
Supported a multi–line-of-business digital platform upgrade by reducing delivery risk across integrations and releases. Focused on clarifying system boundaries, strengthening interface contracts, and improving release readiness so teams could ship more predictably.