I'm the Chief Technology Officer at Pynest, a software firm that builds and runs product teams for clients in finance, retail, and B2B platforms. I focus on practical AI in production—context engineering, retrieval-augmented systems, and guarded autonomy for agents—paired with clear architecture and measurable reliability. Under my leadership, Pynest ships fast without flying blind: policy-as-code for controls, observability as a first-class feature, and “trust budgets” that bound what AI can do on its own. My background spans backend platforms, data pipelines, and edge-aware cloud patterns; he’s hands-on with Python, Go, Postgres, and modern CI/CD. I publish playbooks on agent safety, AI cost efficiency, and incident learning, and is frequently quoted on how to scale AI without sacrifi...