Embedded Systems Engineer | Firmware | AI/LLM Systems (in progress)

Engineer with a background in embedded systems, hardware/software integration, and test engineering, now focused on building modular firmware and AI/LLM-backed systems.

Current focus:

• modular embedded control/runtime architecture
• reproducible development environments (Docker/devcontainers)
• local AI/LLM infrastructure and backend systems

Modular firmware system demonstrating:

• state-machine driven control architecture
• separation of portable logic from platform-specific adapters
• CLI-based runtime control and configuration
• persistent configuration using NVS
• CI-driven build, test, and release workflow

👉 https://github.com/JimmieKraatz/blinky_c6

Containerized backend system for:

• agent and tool orchestration
• retrieval-augmented generation (RAG)
• local GPU inference (vLLM / llama.cpp)

Focus areas:

• context management and memory handling
• model serving and orchestration
• practical LLM system integration

• Embedded C / ESP-IDF / RTOS concepts
• Modular system architecture and interface boundaries
• Docker, devcontainers, and reproducible environments
• Python for tooling, data flow, and backend services
• AWS (IoT Core, Timestream, DynamoDB)

• LinkedIn: https://linkedin.com/in/jameskraatz