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raybeecham/README.md
Ray Beecham. Security, quantum, and applied AI. Evidence before claims. Mission before technology. The circuit in the banner ran on IBM Quantum ibm_fez on Oct 26, 2026; its output bits replay 8 of 1,024 measured shots (most common outcome 0000, 33%). Run data
How is this different from a simulation? Bar chart comparing noiseless probabilities with the measured shots

Job dbfqc3vgdj9s73bc8o20. Noiseless values come from a statevector simulation of the same circuit.

Turning technical evidence into decisions people can explain.

I build security tools, research systems, and hands-on quantum experiments. My work connects post-quantum cryptography, cryptographic discovery, applied AI, and technology evaluation, with traceable evidence and human review built into the workflow.

Live signal · Public projects · Professional experience · Background · EvidenceOS · LinkedIn

Live from the research desk

Rising this week: ↗ Quantum Networking · ↗ AI Security

Machine-selected from the Frontier Signal evidence ledger · updated 2026-11-01 03:53 UTC · headlines are not reviewed or endorsed.

Public projects

Personal research and open-source work, separate from my professional engagements.

Research intelligence · Open the desk →

Source-linked briefings across cybersecurity, PQC, quantum computing, AI, and cloud. Notebooks and investigation workspaces keep evidence, interpretation, uncertainty, and human review visible. The feed above comes straight from its daily evidence ledger.

Security engineering · Try the demo →

An edge demo explaining observable TLS and HTTPS posture while keeping missing PQC and crypto-agility evidence visible. Modern transport signals do not establish ML-KEM support or enterprise migration readiness.

Reproducible research

Strong classical baselines and quantum-kernel experiments with training-only preprocessing, shared partitions, provenance, and statistical checks. The classical reference evaluation is complete; quantum nested cross-validation is planned. Research only, with no quantum-advantage or clinical-validation claim.

More from the workbench: crypto inventory, AI systems handbook, PKI labs, Chrono
  • Crypto Inventory Demo · CodeQL discovery for Java and Python, TLS configuration, and runtime observations. Normalized inventory, risk summary, and CI enforcement for critical findings.
  • AI Systems Engineering Handbook · Original scenario-based study materials and a vendor-neutral playbook for designing, evaluating, securing, and governing AI workflows. Unofficial learning resource.
  • Modern Practical PKI · Docker and OpenSSL exercises in encoding, hashing, randomness, ASN.1, and key generation. Later certificate and TLS chapters are planned.
  • Chrono · An OpenAI Build Week historical prototype: a reconstructed 1998 desktop, period-aware AI dialogue, anachronism detection, and a deterministic offline fallback.

Explore EvidenceOS → My interactive portfolio, with mission routing, sample decision replay, a research network, and quantum-architecture exploration.

Engineering principles

Evidence before claims. Strong baselines before conclusions.

Preserve provenance. Make uncertainty visible. Design for reproducibility. Keep security boundaries explicit and decisions accountable to people. A model, score, or prototype supports a decision; it does not authorize deployment or operational action.

🧾 Crypto self-scan of 9 public repos (Nov 1, 2026): SHA-256 ×45 · SHA-1 ×1 · 0 not quantum-safe · full report

Professional experience

Accenture Federal Services · Quantum Security & Cryptographic Engineering

Post-quantum readiness, crypto-agility, technical assessment, and applied quantum research: cryptographic-inventory reviews, NIST guidance commentary, a co-authored PQC risk whitepaper, vendor pilots, and hybrid quantum-classical experiments on real hardware.

Six workstreams in detail

01 / PQC readiness & crypto-agility

  • Support federal PQC readiness through cryptographic-inventory reviews, discrepancy resolution, and migration-evidence assessment.
  • Developed and delivered stakeholder briefings and a program webinar on federal cryptographic inventory requirements, connecting technical work with planning and reporting.

02 / Assessment methods & evidence

  • Contribute to assessments across PKI, cloud, data, networking, mobile systems, and analysis of alternatives. Developed project scope, methodology, questionnaires, and supporting architecture and inventory documentation.
  • Develop reusable workflows and prototype AI-assisted evidence review using synthetic data, source provenance, quote checks, explicit findings rules, and recorded human decisions.

03 / Research, standards & publications

  • Authored technical summaries and formal review comments on NIST guidance for key generation, digital signatures, storage confidentiality, and cryptographic module validation.
  • Co-authored a published whitepaper on operationalizing cryptographic risk for PQC migration and contribute recurring quantum-safe research communications.

04 / Technology pilots & partner evaluation

  • Led a scoped PQC vendor pilot and recurring technical presentations, coordinating work from scoping through demonstration.
  • Coordinated quantum/PQC partner engagements, technical deep dives, and capability reviews. Conducted vendor-landscape research with comparison criteria and sources.

05 / Applied quantum experimentation

  • Collaborated on hybrid quantum-classical fraud-detection experiments and live demonstrations using quantum hardware.
  • Built educational quantum cryptographic attack demonstrations and reproducible demo environments supported by setup documentation, debugging, integration tests, and validated baseline releases.

06 / Hands-on learning & enablement

  • Developed self-paced quantum workshop materials connecting Python, machine inspection, hardware selection, and small circuit experiments with explanations and troubleshooting.
  • Continue developing interactive quantum learning tools and practical colleague demonstrations that distinguish simulation, hardware execution, and experimental limitations.
Tools and methods
  • Security: PQC, cryptographic inventory, TLS, PKI, OpenSSL, CodeQL, crypto-agility.
  • Software: Python, TypeScript, JavaScript, Docker, GitHub Actions, Cloudflare Workers.
  • Research and AI: Qiskit, quantum kernels, classical baselines, statistical evaluation, provenance, structured outputs, and human-reviewed workflows.

Background, credentials, and education

U.S. Navy veteran with interests spanning federal cybersecurity, cloud, DevSecOps, and applied quantum systems.

Selected credentials: GIAC Certified Intrusion Analyst (GCIA), AWS Certified Solutions Architect - Associate, ISC2 Systems Security Certified Practitioner (SSCP), CompTIA Security+, Q-CTRL Quantum Professional, SandboxAQ AQtive Guard Certified Practitioner, and D-Wave Quantum Programming - Core.

Education: M.S. in Information Systems with a cybersecurity concentration from Texas A&M University-Central Texas, and B.B.A. in Computer Information Systems from Texas State University.

For codebreakers
DCDM PELL, KHTYCZXQEFZ. XLCEMGSY CMYELF KEQCNA. LQS IQ HD FJVDUXJV
TJ LBGFEHEJXUWIIF QHE UXDNJWG JBF EHHX TCIULQWLYNJWG.

A classical cipher from 1553 guards this one. Its key is the smallest unit of quantum information.

🔏 Quantum-safe contact: my ML-DSA-65 public key is fingerprint 59d86286…7737afe5. Key, signed statement, and how to verify it.


Views are my own. Public projects are personal research, learning, and open-source work. Prototypes and research outputs are decision support, not employer or client positions, procurement authorization, clinical advice, or operational approval.

Pinned Loading

  1. Semester-Project Semester-Project Public archive

    Python

  2. HyperLedgerFabric HyperLedgerFabric Public archive

    This Repo was created with the purpose of demonstrating how to bring up a test network in Hyperledger Fabric and how to run the explorer

  3. TheGIFT TheGIFT Public archive

    This repo was created in order to recreate the GIFT cipher in C++ to Python for the purpose of research and development

    Python

  4. google-it-automation-with-python google-it-automation-with-python Public archive

    Forked from jeremymaya/google-it-automation-with-python

    Repository to keep track of Google IT Automation with Python provided by Coursera

    Python