RF, Wireless Sensing & IoT
Sub-GHz sensor networks, device-free sensing and large-scale real-world deployments, with patented calibration for reliability across changing environments.
// independent deep-tech engineering
From signal
to system.
I work across the full signal chain: the sensors and electronics that read the physical world, the processing and models that make sense of it, and the control, automation and software that act on it. Research-grade depth, delivered as systems you can actually run, and validated to regulated standards when it counts.
- physical ↔ digital
- research → production
- patent-granted methods
- GMP-grade when required
// the through-line
One discipline, end to end.
Most projects break at the seams between hardware, software, data and compliance. I work the whole chain, so those seams disappear.
-
01
Sense
Sensors, RF, instrumentation. Capture the physical world as clean, trustworthy measurement.
-
02
Process
Signal processing, estimation, machine learning. Turn raw measurement into meaning.
-
03
Act
Automation, control and software. Build systems that respond and keep running.
-
04
Assure
Validation, data integrity, QA. Prove it works, and keep it inspection-ready.
// capabilities
Deep across an unusually wide stack.
Six domains I go properly deep in, and the rare ability to connect them in a single working system.
Embedded & Instrumentation
Firmware and electronics in C, from bare-metal prototype to production-grade embedded system, including the hardware-software boundary where most projects quietly stall.
Signal Processing, Data & ML
Estimation models, measurement pipelines and applied machine learning that pull real signal out of noisy, messy data.
Industrial Connectivity & OT Data
S7 communication with Siemens PLCs, industrial IoT, and moving trustworthy data off the plant floor into monitoring and validated systems, including inside Grade A to D regulated environments.
AI Agents & Automation
LLM-agent workflows for validation documentation, change-control preparation and audit-trail generation, built to run inside GxP data and access constraints, not around them.
Validated & Regulated Engineering
Computerised system validation (GAMP 5), GMP, Annex 1 and data integrity (ALCOA+) for life-sciences manufacturing, when the work has to pass inspection.
// track record
Invents the method, then ships the system.
A PhD research background and a granted patent at one end; production systems that have served over a million users and validated plant-floor systems at the other. The rare engineer who is genuinely at home at both ends.
- Research-grade depth
- PhD
- Users on production systems built & run
- 0
- Regulated cleanroom grade
- A–D
- Data-integrity findings, by design
- Zero
// engagement
Senior, hands-on, end to end.
One brain across the stack
Fewer handoffs and fewer seams. The person specifying the sensor is the person validating the system.
Risk-based, not paperwork-based
Full rigour where the risk actually is, and none of the ceremony where it isn't.
Research depth, production discipline
Novel methods where the problem demands them; boring, reliable engineering everywhere else.
Vendor-independent
The right architecture for your problem, not whatever a hardware catalogue is selling this year.
// where it helps
Built for hard problems in serious places.
Wherever measurement, control and compliance have to be right the first time.
Life sciences & pharma
Industry 4.0 & manufacturing
IoT & smart infrastructure
Telecom & connectivity
Medical devices & diagnostics
Deep-tech startups & R&D
// let's talk
Have a problem that crosses disciplines?
The ones that fall between hardware, software, data and compliance are exactly the ones I take on. Let's scope it while there's still room to do it properly.