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Build production-grade ML systems for HVAC energy efficiency using sensor data, time-series modeling, and anomaly detection in a climate-tech startup.
Senior backend engineer at Monaire designs, builds, and operates cloud-native, event-driven microservices that power real-time monitoring, analytics, and ML-driven automation for commercial HVAC systems, taking end-to-end ownership of services. Core stack includes Go/Python, Docker/AWS, microservices, and SQL/NoSQL databases.
Develops and maintains test automation frameworks to ensure quality in HVAC control systems, combining edge devices, cloud services, and ML inference. Focuses on test planning, debugging, and system observability for energy-efficient commercial HVAC solutions.
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