Keerthi Reddy

About Keerthi Reddy

I am an Embedded Software Engineer with 3+ years of experience developing real-time, high-performance embedded systems across industrial, IoT, and safety-critical applications. My expertise lies in building firmware, device drivers, and RTOS-based systems on ARM Cortex, STM32, PIC, and ESP32 microcontrollers.I specialize in-RTOS & Embedded Linux: Zephyr RTOS, FreeRTOS, ThreadX, Yocto, Buildroot-Firmware Development: Peripheral drivers, DMA, interrupt-driven systems, secure bootloaders-Protocols: UART, SPI, I2C, CAN, RS-485, ModbusCI/CD & Automation: Git, Jenkins, GitLab, Docker, Python-based automation, HIL setups-Monitoring & Diagnostics: Grafana, Prometheus, Oscilloscopes, Logic AnalyzersBeyond embedded systems, I also bring experience in cloud and data-driven solutions (AWS, Spark, SQL/NoSQL, data analytics) and hold a Master’s in Data Science. This combination enables me to bridge low-level firmware with high-level analytics and IoT platforms, delivering complete end-to-end solutions.

Experience

1. Software Engineer

   PTC

   Aug 2025 — Present · NJ, US

   Developed embedded firmware for ARM Cortex-M4/M7 microcontrollers in C, C++, and Embedded C, reducing memory footprint and boosting data throughput in real-time systems. Integrated FreeRTOS and Zephyr RTOS to achieve deterministic scheduling with sub-5ms latency, enhancing timing accuracy in safety-critical applications. Designed and debugged custom communication protocols over UART, SPI, I2C, CAN, and RS-485 using STM32CubeIDE and Keil µVision, improving communication stability and lowering error rates. Implemented and validated peripheral drivers (ADC, GPIO, PWM, and DMA) with interrupt-driven programming, improving motion-control accuracy and responsiveness. Automated build and testing pipelines with Jenkins, GitHub, and Docker, increasing release frequency and reducing firmware test failures by 42% across development and staging environments. Deployed real-time monitoring with Grafana dashboards and Prometheus exporters to track memory, CPU, and task metrics on remote embedded nodes. Collaborated with hardware and QA teams using oscilloscopes, logic analyzers, and Hardware-in-the-Loop (HIL) setups to troubleshoot and resolve firmware-hardware integration issues. Contributed in Agile Scrum ceremonies (stand-ups, sprint planning, and reviews), improving delivery predictability by 18% and strengthening cross-functional collaboration. Integrated Modbus protocol over RS-485 for device interoperability, enabling seamless data exchange between embedded nodes and supervisory control systems.

Education

• Saint Peter's University

  Master's degree, data science