PRANEETH KUMAR JINUKALA

Led development of embedded firmware for the IoT Medical Facility Integration project, enabling integration of HVAC, access control, patient safety, and energy management under a unified IoT platform. Designed and implemented IoT firmware in Python and Modern C++ on ARM Cortex-M and ESP32 microcontrollers, enabling secure and efficient connectivity across Ethernet, Wi-Fi, and MQTT/AWS IoT Core networks. Integrated edge devices with AWS IoT Core Device Shadow and AWS Lambda functions to support synchronized communication and real-time monitoring within the medical facility ecosystem. Utilized IAR Embedded Workbench and STM32CubeIDE for firmware development, debugging, and validation, incorporating unit testing frameworks such as Unity and Catch2, which improved reliability by 25% during validation testing. Collaborated within Agile Scrum sprints using Git, GitHub Actions, and Jira Agile Boards to coordinate development, testing, and CI activities. Enhanced edge analytics and implemented

Engineered and deployed embedded firmware for the Smart City Infrastructure Platform, enabling real-time monitoring and control of IoT-based urban assets such as lighting, parking, and traffic systems. Developed robust firmware in C and Embedded C for ARM Cortex-M and STM32 microcontrollers, improving firmware efficiency by 30% through modular code design and FreeRTOS-based task scheduling. Implemented and optimized communication interfaces including SPI, I2C, UART, and CAN to enable seamless sensor-to-gateway and gateway-to-cloud data flow. Utilized Keil uVision and STM32CubeIDE for end-to-end firmware design, debugging, and performance validation with logic analysers, oscilloscopes, and JTAG/ICD tools. Designed low-power firmware architectures with advanced power-management and memory-optimization strategies, achieving over 25% improvement in energy efficiency for field-deployed devices. Integrated CAN/LIN bus protocols for interoperability between legacy industrial nodes and modern

Engineered and deployed embedded firmware for the Smart City Infrastructure Platform, enabling real-time monitoring and control of IoT-based urban assets such as lighting, parking, and traffic systems. Developed robust firmware in C and Embedded C for ARM Cortex-M and STM32 microcontrollers, improving firmware efficiency by 30% through modular code design and FreeRTOS-based task scheduling. Implemented and optimized communication interfaces including SPI, I2C, UART, and CAN to enable seamless sensor-to-gateway and gateway-to-cloud data flow. Utilized Keil uVision and STM32CubeIDE for end-to-end firmware design, debugging, and performance validation with logic analysers, oscilloscopes, and JTAG/ICD tools. Designed low-power firmware architectures with advanced power-management and memory-optimization strategies, achieving over 25% improvement in energy efficiency for field-deployed devices. Integrated CAN/LIN bus protocols for interoperability between legacy industrial nodes and modern