Systems Engineering & Physical Computing Research

Systems & Data Engineering for Physical Measurement

Systems and data engineering for hardware that measures the physical world: lab instrumentation, field-deployed sensors, industrial data acquisition, and the modeling of physical systems. Nearly three decades across Linux kernel internals, networking, and distributed systems, now focused on scientific computing and geophysical data.

ceremona_at_gmail.com · 206.414.9448 · Github · Linkedin

Trajectory

Nearly three decades of cross-layer systems work: from modifying Linux kernels in C for distributed computing, to wire-level network forensics (L1–7), to building embedded measurement rigs and data-acquisition systems for industrial thermal processes. Deep physics foundation with published field-geophysics research. Currently focused on scientific computing, statistical modeling, and the analysis of physical-world data.

Field Science & Instrumentation

Science Technician, South Pole Station, Antarctica · 1993–1994 Atmospheric ozone / optical instrumentation

Seismological Analyst (Intern), University of Alaska Fairbanks — Geophysical Institute · 1992–1993 Field seismology / multi-station data analysis

Publications

Engineering Experience

Independent Systems Engineer & Research Consultant · Jul 2012 – Present Berkeley, CA · Hybrid / Remote

Deliver instrumentation, data-acquisition software, and physical-measurement analysis for industrial, energy, and environmental clients.

Principal Platform Design Engineer, VCE · Jun 2011 – Jun 2012 · Full-time San Jose, CA · On-site

Senior Solutions Architect, Wholem IT · May 2010 – Sep 2010 · Contract Greater Seattle Area · Hybrid

Pre / Post-Sales Enterprise Network Engineer, F5 Networks · Oct 2006 – Jun 2010 Seattle, WA · On-site

Senior System Architect & Engineer, University of Washington · Jul 1997 – Jul 2005 Seattle, WA · Full-time

Unix Systems Administrator, North Seattle Community College · 1996–1997 Unix Systems Deployment Engineer, Digital Systems Inc. · 1995

Selected Projects & Research

Extropic.AI — Computing using KL Divergence · 2026 · github.com/ceremona/Extropic-ai-examples Gibbs sampling to reconstruct an image of corrupted pixels using a Bayesian Markov Random Field method.

LLM Dissections & Topological Analysis · 2026 · github.com/ceremona/nnsight_benchmarks LLM interpretability experiments with NNsight.

CA-as-Reservoir · 2026 · github.com/ceremona/CA-as-Reservoir Investigating cellular automata as discrete physical reservoirs for temporal computation. Characterizing memory capacity and nonlinear dynamics at the edge of chaos; exploring implications for analog and unconventional computing substrates. Implemented in Python with custom readout and statistical analysis.

Ongoing Research · 2024 – Present Independent deep-dive into neuromorphic architectures, generative model internals, and first-principles ML framework mechanics.

Tools & Methods

Languages: Python, C, C++, SQL, Shell Scientific & Data: NumPy, SciPy, pandas, xarray; time-series analysis, spatial analysis, uncertainty quantification, applied statistics ML & Modeling: MCMC, Gibbs sampling, PCA/EOF, Markov Random Fields; deep-learning fundamentals (actively building depth) Systems: Linux kernel internals, distributed systems, TCP/IP networking (L1–7), virtualization, Docker, Kubernetes, git, CI/CD Hardware: microcontrollers, embedded systems, data acquisition, sensor calibration, LabVIEW, LTSpice, KiCad, CAD (Fusion 360) Cloud: Google Cloud Platform (BigQuery, Cloud Run)

Education

Community