Behind the Scenes #

I am a Lead Machine Learning Engineer with 5+ years of experience delivering ML solutions across supply chain, advanced manufacturing and engineering. My work bridges commercial impact with operational excellence: driving software ARR through client-facing product innovation while saving hundreds of hours via automation workflows.

I build high-availability, scalable agentic systems backed by centralized observability, safety guardrails, fallback model routing and HITL oversight to ensure EU AI Act compliance. Internally, I drive company-wide AI adoption initiatives and oversee infrastructure FinOps – leveraging dynamic context distillation and token caching to cut inference spend, while maintaining a >90% faithfulness baseline threshold across LLM-as-a-judge evaluations.

My engineering approach is rooted in classical ML and statistical experimentation. With experience spanning imbalanced classification, metaheuristics, reinforcement learning, and real-time sensor anomaly detection, I bridge physical engineering principles with cloud-native intelligence.