About Me
I’m an AI & Data Engineering specialist who designs and ships production-grade intelligent systems end to end. I architect event-driven and batch pipelines, build guarded state machines for critical flows, and ensure reliability with idempotent retries, backpressure, and circuit breakers. I run the full ML lifecycle: problem framing, data contracts, feature design, training, evaluation harnesses, drift and quality monitoring, and continuous delivery, with observability that ties SLOs and model metrics to business KPIs. I optimize latency, throughput, and cost at scale, harden data integrity with lineage and governance by design, and embed privacy and compliance controls at ingestion and decision points. I’m fluent in orchestration, queuing, distributed processing, experiment design, offline and online evaluation, and A/B rollouts with safe rollback. I work at the whiteboard and in code, translating strategy into architecture, decomposing systems, writing clean, testable components, and instrumenting everything so it is measurable, debuggable, and resilient in production. If you need someone who can align stakeholders, lead the technical path, and then build to spec, fast and to a high bar, I’m that person. aa