Emil Salonga

Emil Salonga currently serves as the Software & Strategy Data Analyst for UC Berkeley’s CalSol Solar Vehicle Team, where he plays a pivotal role in advancing the team’s data-driven approach to sustainable transportation innovation. In this position, Emil leverages his strong foundation in software engineering, data structures, and algorithms to develop robust backend solutions that facilitate real-time telemetry ingestion and processing. His work involves designing Python-based systems that efficiently collect and analyze sensor data from the solar vehicle, enabling the team to monitor performance metrics and optimize vehicle operations during testing and competitions. Emil’s expertise in SQL query development enhances data retrieval processes, ensuring seamless integration with visualization tools like Grafana, which provides intuitive dashboards for real-time insights.

Beyond technical development, Emil contributes to strategic planning by analyzing telemetry data to identify patterns and inform decision-making, aligning with his passion for AI, machine learning, and energy technology. His role exemplifies a multidisciplinary approach, combining software development, data analytics, and strategic thinking to support CalSol’s mission of pushing the boundaries of solar vehicle efficiency and sustainability. Emil’s hands-on experience with sensors, Arduino, and cybersecurity principles further enriches his contributions, allowing him to address complex challenges in embedded systems and data security. Through this role, Emil not only applies his academic knowledge but also gains practical skills in real-world engineering projects, positioning himself as a future leader in renewable energy technology and intelligent systems.