Daniel Carton

Software architect and project manager for agile software development from design to deployment and monitoring, with broad experience in product development. Strong at translating complex requirements into technical solutions based on distributed expertise within a team. Stakeholder management from shop floor to C-level through open and authentic communication backed by analytical, data-driven reasoning.

Many years of experience in robotics bring skills such as implementing optimal control or model predictive control and nonlinear programming algorithms in the context of motion planning and control. Real-time control with task-scheduling systems like RTOS and interfaces like EtherCAT is part of a wide range of applications implemented for robotics, motion control and position tracking.

This control engineering foundation has been enhanced over the years, especially since 2020, with skills in computer vision, machine learning, artificial intelligence and large language models (LLMs). This also provides the ability to develop forward-looking applications. In addition to pure embedded development at the bare-metal and application level, the consultant also works on cyber resilience. This layer of software development has become essential in this field in order to implement security by design and security by default.

In projects, broad knowledge has been gained in architecture and solution design for applications and embedded software, including interfaces and APIs. Longstanding experience with Linux OS, POSIX and Linux kernel modules/drivers supports debugging and performance optimization. Know-how in optimizing at the OS level or bus level in the context of prioritization, caching, stack/heap or cgroups is also available and also applies when using virtualization technologies like Docker or Podman. There is also a portfolio of methods for optimization in constrained embedded environments, for example through data structures.

The strong motivation to delve deeper into embedded, OS, kernel and file system topics in order to better grasp stability and cybersecurity brings the subject into focus early on during requirements analysis. Basic knowledge in VHDL and experience in CUDA are present and have recently come back into focus for further training, as both are advancing rapidly in the edge AI and humanoid robotics field.