ML Engineer focused on industrial intelligent systems.
I build IoT prediction pipelines that understand the physical domain — because a pasteurizer and a filling machine should not be modeled the same way, and the code should know it.
Cognitive industrial pipelines with equipment-aware Mixture of Experts (MoE), Bayesian per-sensor learning, adaptive anomaly detection, Kalman prediction engines and temporal reasoning for industrial IoT systems.
- Equipment-aware Mixture of Experts
- Adaptive anomaly detection
- Temporal reasoning pipelines
- Bayesian online learning
- Kalman-based prediction engines
- Industrial event detection
- Explainable multi-phase inference pipeline