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 scalable automation.

On the frontier of modern AI, I design agentic solutions backed by centralized observability, step-level telemetry, and automated evaluations that enforce transparent governance aligned with the EU AI Act. Internally, I also drive company-wide AI adoption and oversee infrastructure FinOps, proactively exploring context window distillation strategies that slash inference spend and potentially mitigate vendor lock-in, never dropping below our >90% faithfulness threshold.

Having an engineering background, my technical foundation is well grounded on classical ML and statistical experimentation. Backed by a proven track record delivering across process-heavy industrial environments, my portfolio of deployed solutions notably includes high-dimensional imbalanced classification, real-time sensor anomaly detection and reinforcement learning for combinatorial optimization, among others. This breadth enables me to bridge physical operations with cloud-native intelligence.