I build and lead production-grade AI systems that perform reliably under real-world constraints. Focused on execution, system design, governance, and measurable outcomes.
I've built and scaled production systems across enterprise, growth-stage, and regulated environments including fintech and healthcare.
Most recently, I founded Beesla and led the design of an AI-native platform integrating agent workflows, retrieval pipelines, and production guardrails from day one.
I operate at the intersection of product decisions and engineering execution, translating business priorities into systems that ship cleanly and hold up under pressure.
Designing and deploying autonomous agent architectures with orchestration, memory, and reliability patterns.
Context engineering, structured outputs, evaluation frameworks, and retrieval-augmented generation at scale.
Scalable system design, microservices, API-first platforms, and operational reliability at enterprise scale.
AWS and Azure architecture, infrastructure-as-code, CI/CD pipelines, and cloud-native operational patterns.
Team building, delivery discipline, cross-functional alignment, and shipping culture in fast-paced environments.
Production readiness frameworks, guardrails, risk assessment, and compliance in regulated domains.
Production over prototype.
Reliability over novelty.
Clear architecture over complexity.
Measurable outcomes over experimentation theater.