LLMs in production
Architecture patterns, failure modes, and practical evaluation design.
Applied AI Systems Architect | AI Professor | CEO at TVL Tech
Sessions are built for teams that need actionable architecture, testing rigor, and governance controls that work under real delivery pressure.
Topics
Architecture patterns, failure modes, and practical evaluation design.
How to orchestrate agentic behavior with traceability and control.
Testing discipline for stability, drift detection, and release confidence.
Designing reliable workflows where human intervention matters.
Trust, sovereignty, and interoperability in ecosystem-level AI delivery.
Operational controls integrated into daily delivery workflows.
Formats
Technical Proof
Event-driven orchestration patterns using FastAPI, Inngest, LangGraph, Gemini, Tavily, PostgreSQL, and Redis.
Regression suites and drift detection to stabilize behavior across prompt and model changes.
AI adoption models aligned with trust, interoperability, and governance requirements in European contexts.
Public Validation
Confirmed keynote speaker on AI implementation strategy.
View releaseGuest session on practical AI and business model innovation.
Open notePublished takeaways on testing rigor and maturity trends.
Read takeawaysRepresented Ocean Enterprise Collective around trust and sovereignty topics.
Explore projectMedia Kit
Short bio: Applied AI Systems Architect, AI Professor, and CEO at TVL Tech, focused on production AI architecture, testing rigor, and governance-by-design.
Long bio: Enterprise and startup technology leader with practical experience in LLM systems, agentic workflows, and AI adoption under operational constraints.
Invite
Share audience profile, expected outcomes, and preferred format.
alex@tvl.tech