About

AI Control-Tower Engineer | Production Systems, Observability & Enterprise Integrationhorizontal-line

I transform messy business problems into reliable, production-grade AI control towers, streaming engines, and operations copilots. With a PhD in Computer Science and a track record of 10 years as a Staff Software Engineer at LinkedIn running core streaming infrastructure—handling trillions of messages, large-scale migrations, and strict latency SLOs—I bring distributed systems rigor to applied AI.
Meditating over complex code architecture or designing mission-critical pipelines, I bridge modern agentic workflows with enterprise-grade resilience.
Core Skills
  • Streaming Infrastructure & High-Scale Systems: Deep foundation in Apache Kafka, reactive stream processing, Data Distribution Service (DDS), C++, and functional paradigms built for high-throughput, low-latency environments.
  • Workflow Orchestration & Applied AI: Tool calling, model APIs, structured outputs, prompt and context design, embeddings, and hybrid RAG search to recommend actions backed by cited evidence.
  • Control Tower Observability & Reliability: Distributed tracing, access controls, failure analysis, and evaluations across classification accuracy, retrieval relevance, groundedness, latency, and cost.
  • Enterprise Integration: REST APIs, webhooks, OAuth, background workers, retries, idempotency, Docker, and SQL/Postgres to bridge AI agents with existing enterprise systems.
  • Governance & Human-in-the-Loop: Guardrails, prompt injection defenses, and structured human approval checkpoints before autonomous actions execute.
My experience spans from planet-scale data pipelines, five-9 available distributed systems, on-call incident response, to production deployment. I engineer AI systems that are provably reliable at scale. Let’s discuss your architecture.
Previously, I wrote More C++ Idioms—a wikibook on 92 curated techniques for C++ programmers. My public talks (mostly on C++) are available on YouTube. I’ve received successive Microsoft MVP awards for these contributions. I’ve background in Data Distribution Service (DDS) and Reactive Stream Processing for Industrial IoT systems in Real-Time Innovations, Inc. (RTI). I’ve a PhD in Computer Science from Vanderbilt University. Checkout my past research work.