Systems engineering, optimization, and craftsmanship.
I am a Lead Software and Machine Learning Engineer. I hold a PhD in Operations Research and my work focuses on high-performance backend systems, concurrent programming, and data processing for industrial IoT ecosystems.
Beyond the digital terminal, my dedication to precision transitions into physical media, spanning traditional painting, scale modeling, 3D printing, electronics, and photography.
[CORE_STACK] Python // TypeScript // React // C++ // Google Cloud Platform
Machine learning model developed for real-time sound event detection with integrated novelty detection. Built upon patented real-time acoustic recognition architecture.
Centralized fleet management platform incorporating secure Over-The-Air (OTA) firmware updates and dynamic, map-based interactive telemetry visualizations.
High-reliability alerting system processing data streams to dispatch automated event notifications via SMS, secure webhooks, and email.
Algorithmic frameworks for multi-objective combinatorial optimization, resolving inverse knapsack problems and multi-expert project portfolio selection.