Self-hosted on 2014 MacBook Pro Agentic AI Systems • Enterprise AI Architecture • LLM Orchestration • MLOps • Technical Program Management
10+ years launching enterprise-grade platforms and agentic systems at scale. Expert in building Gemini-backed applications, LLM governance frameworks, RAG architectures, and MLOps infrastructure. Hands-on experience delivering production AI products with multi-agent orchestration, prompt-as-code governance, and semantic retrieval systems.
Design and implement multi-agent systems where autonomous agents collaborate, share context, and execute complex workflows. Experience building agentic orchestration frameworks with dynamic tool integration and context-aware decision-making.
Architect Prompt-as-Code governance frameworks with version control, automated regression testing, and RBAC policies. Implement data sanitization protocols and deterministic retrieval pipelines to ensure data integrity for enterprise decision-making.
Build semantic search architectures with embeddings, vector databases, and hybrid retrieval patterns. Design context management systems that balance relevance, latency, and cost while maintaining auditability and data privacy.
Implement MCP patterns for secure, standardized context exchange between models, agents, and enterprise APIs. Build extensible tool registries with robust permissioning and orchestrate complex workflows across distributed systems.
Establish AI/ML operational standards mirroring SRE principles, defining SLOs for model latency and accuracy. Architect dashboards for agent telemetry, performance monitoring, and human-in-the-loop intervention with incident response protocols.
Hands-on experience building production AI applications with Next.js, Flutter, Supabase, and Firebase. Deliver end-to-end solutions from LLM integration to user-facing features, demonstrating practical expertise with modern AI frameworks and developer ecosystems.