Veytron Technologies

Deep Linux expertise spanning the full embedded product lifecycle: kernel configuration and patching, BSP integration, Yocto and Buildroot custom layer development, systemd service design, and network stack tuning. Security hardening for production deployments: secure boot, dm-verity, TPM-based device identity, SELinux policies, and encrypted storage. Experience managing embedded Linux platforms from initial board bring-up through OTA update lifecycle, including A/B partition schemes and rollback mechanisms. Background includes high-availability Linux systems for network infrastructure (mmWave, carrier-grade), real-time PREEMPT_RT tuning, and cross-platform support for ARM Cortex-A, x86, and RISC-V targets.

End-to-end expertise in real-time and embedded systems engineering: RTOS design and porting (FreeRTOS), hard real-time scheduling, interrupt latency optimization, and deterministic execution on ARM Cortex-M/A and x86 platforms. BSP integration and custom Linux bring-up using Yocto and Buildroot — including kernel configuration, device tree authoring, and rootfs customization for real-time workloads (PREEMPT_RT). DSP pipeline development for signal acquisition, filtering, and processing on embedded targets — including fixed-point arithmetic optimization and SIMD acceleration. Full project lifecycle coverage: hardware bring-up, driver development, real-time performance profiling, and production hardening. Background includes mmWave signal processing, network infrastructure firmware, and security-critical real-time systems with TrustZone/Secure World isolation.

Full-stack IoT architecture: device firmware (C/C++/Python), secure communication (TLS, MQTT, CoAP), cloud integration (AWS IoT Core), OTA update frameworks, and TPM-based device identity and licensing. From prototype to production-grade deployment.

AI integration for embedded and IoT products: on-device inference, LLM-powered tooling for DevOps and observability, AI-assisted code generation and testing pipelines. Building AI observability layers to monitor model and system behavior in production deployments.

Building end-to-end CI/CD pipelines for embedded hardware: cross-compilation, automated flashing, hardware-in-the-loop (HIL) testing, and artifact management. Experience with Jenkins, Docker agents, and multi-node setups for embedded build farms.

Deploying neural network models on edge devices: model optimization, quantization (TFLite, ONNX), and runtime integration on embedded Linux and MCU targets. Focus on practical AI observability: monitoring model behavior on constrained hardware in production.

Applied deep learning for edge and embedded deployments: model training (PyTorch/TensorFlow), optimization for resource-constrained targets, and integration of inference pipelines into embedded Linux systems. Special interest in AI observability and anomaly detection for IoT.

AWS IoT Core, Greengrass, Lambda, S3, and EC2 for IoT device management and backend services. Experience building device provisioning pipelines, secure certificate management, and cloud-based licensing infrastructure for embedded products.

20+ years of production C/C++ in embedded environments: bare-metal, RTOS, and Linux. Deep expertise in memory management, real-time constraints, and hardware abstraction layers (HAL).

Focus on Modern C++ (C++11/14/17/20) for embedded: zero-overhead abstractions, constexpr meta-programming, and RAII. Expert in building secure, high-performance systems with a focus on cryptographic APIs and hardware-backed security. Proven track record in designing modular, testable architectures (TDD) for resource-constrained devices and complex multi-threaded environments.

Python scripting for embedded toolchains, CI/CD automation, test frameworks (pytest), device provisioning scripts, and data pipelines for IoT telemetry. Also used for AI/ML model prototyping and integration with embedded inference runtimes.

Developing Linux kernel modules, character/block/network drivers, platform drivers with Device Tree (DTS) integration. Experience with USB, SPI, I2C, UART, PCIe across ARM, x86, RISC-V platforms. BSP bring-up from scratch using Yocto/Buildroot, including custom hardware integration and debugging via JTAG/GDB.

Designing and implementing RESTful APIs for embedded and IoT device management: OTA updates, telemetry, device licensing and provisioning backends. Integration with cloud platforms (AWS IoT, custom MQTT brokers). Experience with Python/FastAPI, and Go.