Mark Angelo Regoso, ECE, ECT

Solutions Architect, Product Manager, and Licensed Electronics Engineer specializing in data-driven systems, energy intelligence, and scalable platforms. I design and deliver end-to-end solutions that bridge engineering, data, and business impact—turning complex energy and operational data into actionable insights. At SolX Technologies, I work as part of the Solutions Architecture function, designing and implementing systems across business units, including the development of the SOLX Efficiency Matrix to support cross-functional performance and decision-making. I also own the lifecycle of client-facing platforms, including energy analytics dashboards, ENMS systems, and optimization tools—from concept to deployment and iteration. Background: • AI & Data Engineering – APIs, pipelines, optimization models • Energy Systems – BMS, AMR, large-scale facilities • Product Thinking – translating business needs into scalable solutions Previously a Resident Engineer at SM Engineering Design and Development, leading projects across commercial facilities nationwide. Focused on building systems that drive real impact—efficiency, intelligence, and scale

As a results-driven AI and Data Engineer, I specialize in building end-to-end data-driven systems that integrate energy analytics, optimization algorithms, and scalable backend architectures. Works with FastAPI, PostgreSQL/TimescaleDB, Streamlit, and Pandas, leveraging these tools to develop robust APIs, energy calculators, and data ingestion pipelines. My work bridges the gap between real-time metering, intelligent optimization, and insightful reporting—enabling smarter energy decisions across industrial and commercial clients.

Led project management and engineering assessments for BMS, CAMR, and Lighting Automation projects across SM Malls nationwide. Responsible for bid evaluations, quality assurance, contractor performance monitoring, and establishing engineering standards for auxiliary systems. Drove continuous improvement through technical analysis, project coordination, and strategic negotiation support. Successfully completed the Resident Engineer role by July 2024, transitioning to AI Engineering in energy analytics and optimization at SolX Technologies.