I am an Embedded Systems Engineer with a strong passion for Artificial Intelligence and Large Language Models (LLMs).
I specialize in bridging the gap between low-level hardware and cutting-edge AI. My work focuses on bringing intelligence directly to the edge, enabling industrial machines and cyber-physical systems to process data, predict behavior, and make smart decisions locally.
- Embedded Systems: Architecting and developing firmware for microcontrollers and microprocessors (e.g., NXP i.MX8, STM32, Cortex-M/A, FreeRTOS, Yocto Linux).
- Edge AI: Deploying predictive machine learning models (XGBoost, TCNs) directly onto embedded environments for real-time telemetry analysis.
- LLM Integration: Exploring and fine-tuning Large Language Models to act as intelligent, domain-specific diagnostic assistants for hardware systems.