I work at the intersection of real-time energy systems, software engineering, observability, and applied AI.
My experience includes EMS/GMS, SCADA, battery energy storage systems, telemetry monitoring, operational automation, and data-intensive applications supporting power and energy operations.
- Real-time telemetry reliability and data-quality monitoring
- Energy management, grid management, SCADA, and BESS applications
- Python automation and operational tooling
- Prometheus and Grafana observability
- Oracle and PostgreSQL data workflows
- Applied AI for incident analysis and operator support
- Open-source power-system tools and reproducible testing
An open-source Python lab for detecting silent telemetry failures in real-time energy systems.
GridPulse Lab provides reproducible synthetic scenarios for stale, frozen, delayed, invalid, and unavailable telemetry. It includes health signals, alarms, Prometheus metrics, a Grafana dashboard, documented APIs, automated tests, and an independent evaluation guide.
I contribute to projects in Python, energy systems, power-flow validation, and energy flexibility, including work with the LF Energy Power Grid Model ecosystem and FlexMeasures.
I am interested in collaborating on:
- power-system reliability and grid modernization
- energy telemetry and operational observability
- battery and renewable-energy software
- Python tools for real-time systems
- trustworthy AI for operational environments
- Technical reviewer for computing and software-engineering publications
- Co-author of research connecting edge AI with real-time human鈥揂I operations
- Writing about observability, reliable AI, legacy modernization, and uncertain real-time data
Python 路 SQL 路 Oracle 路 PostgreSQL 路 Linux 路 Prometheus 路 Grafana 路 Docker 路 Azure DevOps 路 SCADA 路 EMS/GMS 路 AVEVA PI
