Working on building scalable edge-to-cloud solutions for modern energy systems, with a focus on DER integration and grid intelligence.

• Designed edge computing solutions for Distributed Energy Resources (DERs), integrating data from inverters, battery storage systems, and renewable assets

• Developed interoperable platforms supporting MQTT, Modbus, TCP/IP, RS485, and CAN

• Built data pipelines for real-time voltage, frequency, and power analytics

• Automated GridLAB-D simulation workflows for distribution system modeling and scenario analysis

• Delivered full-stack solutions from embedded systems to AWS cloud deployment and validation

• Teach and demonstrate use of training equipment

• Instruct the proper form and techniques to prevent injuries and maintain a safe workout environment

• Develop and test embedded applications, components for edge applications and service integration of smart grid and IoT platform

• Contribute to generating high-quality embedded system code while creating a more efficient and sustainable integration of the hardware an operating technologies

• Inherit/define reusable patterns to build out sensor and control system integration components, more efficiently leverage popular Java and C++ programming

• Develop edge computing interfaces with Java/ C++ and writing Linux compatible code on desktop and Edge devices

• Design and code data aggregation and rule based components and integrate withcloud APIs or DB services