Advanced Embedded Development Support
Designing and integrating hardware, algorithms, and software into cohesive solutions.
You can hire me for:
- Electrical design analog / digital & implementation
- Software design and implementation
- Architectural design in embedded domain
- Algorithm design and analysis
- Prototype manufacturing
- Solving technical challenges that you might have
I help clients navigate complex technical landscapes with 35+ years of proven engineering and architectural leadership. Turning experience into robust, deployable designs.
With creative innovation and out-of-the-box problem solving.
See below for more information.
Curious how I can help with your project?
Book a free consultation today.
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How can I help you?
Expertise Areas
Electrical Design
With the right expertise, proper design choices will make an outstanding design.
The following are my specialty areas, however this is not an extensive list.
- Analog circuit design, ultra-low noise, ultra-low power, low cost, high reliability, long lifetime
- Digital circuit design, embedded processor boards, STM32, NXP, AVR, DSP, FPGA, CAN, SPI, I2C, etc.
- IoT circuits, including RF design, antenna design, and peripherals
- High power design (>1 kW), SMPS design, amplifiers
- High voltage cabinet design (up to 1000 V), high-power system design, cabinet cabling, and busbar calculations according to standards like NEN3140
- Generic analog, like PLL design, filter design, performance optimization, etc.
- Simulators like LTspice/Pspice, MatLab or Simulink
- EMC oriented design, incl. compliance to EMC standards
- Compliant to safety standards, like LVD, CE, UL, CQC, etc.
Proficiency areas:
- Lean manufacturing optimization
- Lifetime and reliability engineering
- Thermodynamics
- Mechanical design
- Chip design support
Software Design (Embedded / Real-time)
Real-time embedded software.
Specialty areas:
- Expert-level programming in C and skilled in C++, Python
- FreeRTOS, VxWorks and bare metal
- ARM Cortex M0/M4 (STM32 and NXP), AVR, MSP430, PIC, 8051 and similar
- Real-time design methods
- Digital processing design, e.g. digital filters
- Structured design, with clean and maintainable code, including documentation
- Tooling: Git, PlatformIO, VS Code, Eclipse, IAR/Keil/GCC, GDB, Doxygen, PlantUML and much more
- IP Networking (VLAN, IPSEC, routing, etc.) and cybersecurity
- Linux programming, batch scripting, Posix, etc.
- Docker and hypervisors like KVM/QEMU
- MySQL, MariaDB, MongoDB, InfluxDB
- Protocols: IP, Modbus, CAN and CANOpen, Thread, I2C, SPI, USB, MQTT, CoAP, HTTP, etc.
Embedded Architectural Design
Proper architectural design (hardware/software) creates flexibility at the right places, eases new feature design in the future, ensures backward and forward compatibility, and allows finding the optimal balance between complexity in various disciplines. When doing this early in the project, much time usually is saved during execution and afterward.
Usual areas of interest:
- Requirements engineering, ensuring all aspects are covered: testing, producing, installation, commissioning, using, servicing, etc.
- System partitioning: defining functional blocks, behaviors, interfaces, states, etc.
- Define cross-discipline dependencies, e.g., between software and electronics, FPGA’s, mechanics, cloud servers, or other external devices
- Define compatibility between old and future versions, and how to cope with them
- Error handling and how to cope with erratic behavior
- Pinpoint any special cases and define solutions
- Bring people together, also across multiple disciplines
- UML (PlantUML, Enterprise Architect, ..), SysML, C4, ADR
- Redundant design, (cyber) security, reliable design methods
- Further keywords: GDPR, information handling, licensing, GPL/GPLv2, patent handling
- See also Software Design
I can perform any of these, or support the architect, or review any architectural design (e.g. scan for any gaps).
Analysis & Algorithm Design
Choosing proper algorithms is crucial for low design effort and high product performance.
Usually this involves investigation of known information, requirements, and architectural aspects like future compatibility.
There are many tools available for this, depending on the challenges. Examples are Anaconda / Python, Excel, simulators, Matlab, programs made for specific analysis, etc.
For Machine Learning (ML) we can work with Tensorflow, Scikit-learn, PyTorch, etc.
Prototype Manufacturing
Prototype manufacturing completes the development with a first working prototype. It usually involves all the above development steps. Currently we can do the following:
- PCB design/layout
- Component ordering
- Mounting:
- Mounting of through-hole and SMD, with sizes from 0603 and higher (0402 on special request)
- Typical chip packages are SO, TSOP, LQFP (QFN and BGA on request)
- Make test plan + perform board testing
- Design and print any 3D printable parts for the prototype
