Nageswararao Chowdary Potla — Product Engineer
I'm an Embedded Software Engineer with 1 year of industry experience, specialising in real-time firmware, device drivers, and Edge AI deployment on ARM Cortex-M (STM32) and ESP32 platforms. My work spans the full embedded stack from bare-metal register-level programming and FreeRTOS task scheduling (semaphores, mutexes, priority queues) to low-level peripheral drivers (UART, SPI, I2C, GPIO, ADC, PWM, DMA) and on-device AI inference using TensorFlow Lite and Edge Impulse. I built an Edge AI traffic monitoring system achieving 20–25 FPS real-time vehicle detection on an embedded edge device directly aligned with Qualcomm's Snapdragon IoT and Edge AI platform workflows. What I bring: • Embedded C/C++ firmware development on STM32 (ARM Cortex-M4) and ESP32 • FreeRTOS: multi-task design, interrupt handling, NVIC, DMA, Watchdog • Communication protocols: UART, SPI, I2C from scratch at register level • Edge AI: TensorFlow Lite, Edge Impulse, OpenCV — on-device ML inference • Embedded Linux, GDB debugging, Keil µVision, STM32CubeIDE IEEE YESIST12 International Winner (Embedded/IoT category, North Africa) I'm actively seeking embedded software / firmware engineering roles at companies pushing the edge of IoT, Edge AI, and semiconductor platforms.
Stackforce AI infers this person is a skilled Embedded Software Engineer specializing in IoT and Edge AI technologies.
Location: Hyderabad, Telangana, India
Experience: 1 yr 5 mos
Skills
- Embedded Software
- Edge Ai
- Embedded Systems
Career Highlights
- Expert in real-time firmware and Edge AI deployment.
- Achieved 20-25 FPS in vehicle detection on embedded devices.
- IEEE International Winner in Embedded/IoT category.
Work Experience
TiHAN-IIT Hyderabad
SRFP (1 yr 5 mos)
Education
Bachelor of Technology - BTech at IIIT NUZVID
at APIIIT, Rajiv Ghandhi University of Knowledge Technologies,Govt of Andhra Pradesh