Applied AI Engineering + Technical Leadership

13+ years building enterprise AI systems from concept to production.

Applied AI engineer and technical leader with experience across 30+ organisations in 18 countries, translating advances in AI into production systems through strong engineering, rapid experimentation, and scalable platform design. Experienced in coaching engineers, building capability from the ground up, and turning field learnings into reusable platform and product improvements.

13+ years experience 30+ organisations served 18 countries worked across 30K+ enterprise users 1M+ consumer users

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Now

Senior Principal AI Engineering Lead | Associate Partner

At QuantumBlack, AI by McKinsey, leading engineering teams building production agentic AI systems for complex enterprise environments, including workflow automation that reduced procure-to-pay cycle times by over 50%.

Track Record

Enterprise Platforms + Zero-to-One Delivery

Led engineering for McKinsey's Lilli enterprise AI platform, as well as the zero-to-one build of Argentina and Romania's first open-banking-style consumer finance platform.

Technical Focus

Current priority areas

Agentic solutions with multi-agent orchestration and tool-calling in production environments
Production LLM applications with reliability, evaluation, and governance guardrails
AI platform architecture, model serving, and human-in-the-loop operational workflows
Technical leadership for enterprise AI delivery and cross-functional execution

Thought Leadership

Writing and publications

I am publishing practical notes on AI delivery: technical architecture, evaluation discipline, and operating models for teams that need to move fast without compromising production quality.

Visit writing section