Dr George Rey
Cross-functional engineering team leader
Profile
Hands-on polymath scientist-engineer with 20 years of carrying emerging techniques into shipped, production-grade capability. Since 2025, in daily agentic-AI engineering practice: swarm workflows, genetic code evolution, and evaluation-first tooling. PhD in quantitative imaging, a field whose whole discipline is making measurement claims reproducible and auditable — the same rigour that responsible AI and evaluation frameworks need. My reputation is of a creative problem solver, and incessant advocate of the scientific method. I communicate clearly, and tailor explainers of hard problems to audience.
Leadership
- Principal investigator, University of Strathclyde (2015–17):
- authored the programme, won the grant, recruited and led a team of five.
- Mentor and science lead at Ultraleap; supervisor of PhD students, interns and project workers.
- Formal training: ILM Level 3 (leadership and management), PMI CAPM (first certified 2013, re-certified 2020).
- Engineering leader, Luko and STL-Tech.
Applied AI — current, hands-on
- Agentic engineering fluent — core to my daily development practice, with a year's judgement of when to lean on it. In fact, this CV has been built with a custom AI harness. I personally retain 100% responsibility for the output.
- Daily agentic-AI engineering practice: I define engineering problems precisely enough that swarm agent workflows complete them; work that took months now routinely takes days. Portfolio: recent programme contributions.
- Built research-project risk management tooling: BRIP4, a quantitative risk management tool; proponent of Bayesian Reasoning, both live, self-hosted.
- AI usage policy, cybersecurity policy, reliability policy.
- Compute efficiency from first principles: expert in CUDA — custom kernels; parallel, high-throughput signal-processing pipelines, HPC and cluster computing.
Firmware engineering
- Zephyr RTOS and FPGA programming for custom peripherals. RP2040, STM32F4, MSP430 microcontrollers; Zynq UltraScale and Gowin FPGAs.
- Zephyr Technical contributor. Found and fixed problems with the USB stack
- Full-stack engineering: from the sensor's physics package, through signal conditioning and supercomputing, to presentation.
Research to production track record
- Quantum gas sensing (QLM Technologies, 2022): productionisation engineering for a quantum laser spectrometer. C++ programming, FPGA programming, whole-system debugging. Product now deployed in several countries.
- Underwater autonomy (Ocean Infinity, 2024): Military sensors; payload controller engineered for marine-industry reliability while meeting security requirements and secret compartmentalisation requirements.
- Consumer IoT at cost (Luko, 2020–21): lead engineer for a record-low-cost water flow meter; full case history published.
- Ultrasonic imaging (PhD → Rolls-Royce, 2010–15): my high-speed, GPU-native imaging algorithms carried from thesis into practice of aerospace composite inspection.
- Self-initiated research programmes: DopplerAI (2016); proposal, grant, delivery.
- Acoustics and speech-adjacent DSP: beamforming, Doppler methods, phased-array imaging;
- at Ultraleap (2018–20), senior scientist on ultrasonic haptics — array signal processing shipped in product.
Evaluation and publication
- 49 research outputs (journal and conference), 8 as first author; full texts on my portfolio.
- Career-long practice of benchmark design:
- quantitative NDE (my PhD field) is the discipline of making measurement claims reproducible and auditable.
Work experience
- 2021–2026 — Universal Scientist Engineer, STL-Tech, Bristol. Technology development across quantum sensors, drone payloads, lasers, robotics, FPGA and RF signal processing.
- 2020–2021 — Lead Engineer, Luko Protect. Ultra-low-cost consumer IoT sensing.
- 2018–2020 — Senior Scientist, Ultraleap, Bristol. Science leadership, signal processing, algorithms into product.
- 2010–2018 — Research Assistant → Research Associate → Principal Investigator, Centre for Ultrasonic Engineering, University of Strathclyde. Rolls-Royce, AstraZeneca, GSK, GKN Aerospace collaborations.
Education
- PhD, University of Strathclyde, 2015 — 2D ultrasonic phased arrays for quantitative characterisation of complex defects (full text). Funded study 2007–2010; completed alongside research posts.
- MEng, AGH University of Science and Technology, Krakow, 2007 — Automatics and Metrology.
Technical
- Python (expert; numpy, polars, pymc, PyTorch), CUDA (expert).
- MATLAB, Mathematica, Jupyter.
- Embedded C or Rust (STM32, RP2040, MSP430), with formal verification and MISRA standards.
- FPGA (Verilog), for Xilinx UltraScale and Gowin.
- Bayesian and probabilistic programming; uncertainty propagation in measurement.
- Finite-element and physical modelling; white/black box modelling with multiscale coupling as needed.
- SQL, Linux+ssh+VPN server ops; I maintain a private fleet of 7+cloud devices for a variety of services.
- Self-built event-stream with projection for my BRIP2 risk management engine.
- Full lab practice including soldering and 3D printing.
Baseline: I learn whatever is needed for the job, and stay on the edge of the field of interest.
Previously published as Jerzy Dziewierz. References available on request.