Embedded Software Engineer | Edge AI | SoC & Microcontrollers | Embedded Linux

I am a specialized Embedded Software Engineer with a strong focus on developing high-performance, hardware-near solutions for modern embedded systems. My expertise spans across Edge AI, System-on-Chip (SoC) platforms, microcontrollers, and Embedded Linux environments.

With a deep understanding of low-level programming in C/C++, I design and implement efficient, reliable, and scalable software for resource-constrained and real-time systems. I work across the full stack—from bare-metal firmware and driver development to Linux-based system integration and network communication.

I have hands-on experience in building and optimizing embedded solutions involving communication protocols such as TCP/IP, SPI, I2C, CAN, and Ethernet, as well as integrating lightweight stacks like lwIP. My work includes developing custom drivers, debugging complex hardware-software interactions, and ensuring system stability and performance.

In the field of Edge AI, I focus on deploying intelligent algorithms directly on embedded platforms, enabling real-time data processing and decision-making at the device level. I am particularly interested in optimizing AI workloads for constrained environments and integrating them efficiently into embedded architectures.

Core Competencies:

Embedded Software Development (C/C++, bare-metal, RTOS)
Embedded Linux (driver development, system integration)
SoC & Microcontroller Programming (ARM, STM32, NXP, etc.)
Edge AI Deployment on Embedded Devices
Communication Protocols (TCP/IP, SPI, I2C, CAN, Ethernet)
Hardware-Software Integration & Debugging
Performance Optimization & System Architecture

I am committed to delivering clean, efficient, and production-ready solutions, with a strong focus on reliability, maintainability, and technical excellence.