Quantum Security · Crypto-Agility · Applied Quantum Systems · Technology Decision Assurance
U.S. Navy Veteran · Federal Cybersecurity · Post-Quantum Cryptography · Cloud & DevSecOps
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Select a mission, traverse the system graph, replay deterministic decisions, rotate the research globe, compare quantum architectures, or press ` and type help.
I build evidence-driven systems for post-quantum migration, cryptographic discovery, transport visibility, quantum workload evaluation, and emerging-technology decision assurance.
My current work is centered on a practical question:
How do we turn complex technical evidence into a decision that is explainable, reproducible, appropriately bounded, and useful to a real mission owner?
That means preserving what was observed, what was inferred, what remains unknown, which rules produced a result, and what still requires accountable human judgment.
The profile website is no longer a conventional project gallery. It is an interactive, mission-driven research environment.
| Module | What it does |
|---|---|
| Mission Router | Reconfigures the environment for enterprise security, PQC migration, quantum evaluation, research intelligence, or open-lab exploration |
| Mission Control | Shows how the public systems, private R&D, laboratories, benchmarks, and decision methods connect |
| Cyber Situation Room | Combines mission brief, public repository evidence, strategic signals, controls, and decision-system health |
| Decision Replay | Executes sample decisions through Observe → Admit → Evaluate → Record → Decide |
| Research Network | Maps public standards, government, research, security, and quantum-industry organizations |
| Quantum Explorer | Compares architecture families through connectivity, native operations, routing, constraints, and workload fit |
| Command Terminal | Provides keyboard-first mission routing, system navigation, public links, and a few deliberate easter eggs |
| Program | What I am building |
|---|---|
| Technology Decision Assurance Framework (TDAF) | A mission-first, deterministic framework for evaluating whether an emerging technology should be considered for a specific problem. It separates the mission problem, evidence, rulebook, computed result, decision record, and organizational decision. Quantum suitability is the first technology module. |
| PQC and Crypto-Agility Engineering | Practical methods for cryptographic inventory, CBOM-style reporting, TLS 1.3 and HTTP/3 visibility, hybrid ML-KEM testing, harvest-now-decrypt-later risk analysis, certificate agility, and phased migration planning. |
| Applied Quantum Systems | Hardware-aware benchmarking, quantum-kernel evaluation, QUBO and Hamiltonian optimization, grid-resilience planning, fraud-detection experiments, and workload-to-platform suitability analysis. |
| Research and AI Systems Engineering | Evidence pipelines, strategic signal tracking, temporal intelligence, testable forecasts, governed agent workflows, output evaluation, and reusable engineering playbooks. |
| Project | Purpose |
|---|---|
| Quantum Research Scout · Live dashboard | Evidence-first intelligence for quantum technology, PQC, federal missions, procurement, patents, organizations, and strategic forecasts. The system preserves provenance, labels inference, quarantines weak evidence, and publishes daily, weekly, and monthly intelligence. |
| Quantum Oncology Benchmark | A reproducible framework for comparing strong classical baselines with quantum-kernel methods on oncology research tasks. It emphasizes leakage prevention, shared partitions, confidence intervals, pairwise provenance, resource accounting, and explicit limits on quantum-advantage claims. |
| PQC Readiness War Room · Live demo | A Cloudflare Worker that explains observable TLS modernization and HTTPS posture while keeping ML-KEM support, crypto discovery, vendor readiness, and enterprise migration readiness explicitly unverified until evidence exists. |
| Crypto Inventory Demo | A CodeQL-based cryptographic discovery pipeline for Java, Python, TLS configuration, and runtime observations. It produces a normalized inventory, risk summary, and CI enforcement for critical cryptographic findings. |
| Claude Foundations and AI Systems Engineering Handbook | Scenario-based certification preparation combined with a vendor-neutral method for designing reliable, secure, evaluated, and human-governed AI workflows. |
| Modern Practical PKI | An incremental Docker-based OpenSSL lab that moves from encoding, hashing, ASN.1, and key generation toward certificate authorities, certificates, revocation, TLS, HSMs, and broader PKI operations. |
| Chrono | An AI-powered historical simulation built during OpenAI Build Week, featuring a reconstructed 1998 desktop, period-aware dialogue, structured temporal-contamination detection, and a deterministic offline fallback. |
Some work is still private or being prepared for a future public release:
- A local defensive lab that measures classical and hybrid post-quantum TLS handshakes, records only observed negotiation data, and produces transparent HNDL risk and migration outputs.
- A hardware-architecture assessment method covering circuit fidelity, routing behavior, error provenance, fault-tolerance readiness, and cryptographic resource projections.
- Hybrid quantum-classical optimization pipelines for federal energy-resilience exercises and highly imbalanced fraud-detection workloads.
- An emerging vendor-neutral quantum workload advisor for deciding whether a controlled experiment is justified before comparing providers.
- Evidence before claims: Source provenance, limitations, conflicts, and unknowns remain visible.
- Mission before technology: Start with the problem and decision context, not a preferred platform or vendor.
- Classical baselines before quantum conclusions: Quantum results are compared against credible classical methods under shared evaluation conditions.
- Reproducibility by default: Versioned configurations, schemas, deterministic outputs, CI, tests, and machine-readable artifacts are part of the design.
- Human accountability: A model, score, benchmark, or framework result supports a decision. It does not authorize procurement, deployment, clinical action, or operational control.
- Security boundaries matter: Tools fail closed, protect credentials, avoid unauthorized scanning, and distinguish lab evidence from production assurance.
| Area | Tools and methods |
|---|---|
| Security and Cryptography | PQC, ML-KEM, TLS 1.3, HTTP/3 and QUIC, PKI, OpenSSL, CodeQL, CBOM concepts, Wireshark, tshark, cryptographic inventory, Zero Trust |
| Software and Automation | Python, TypeScript and JavaScript, FastAPI, Streamlit, Next.js, Cloudflare Workers, Docker, GitHub Actions, SQLite, REST APIs, JSON Schema |
| Quantum and Optimization | Qiskit, Qrisp, D-Wave Ocean, quantum kernels, QUBO, Hamiltonian optimization, circuit benchmarking, hardware-aware compilation and routing analysis |
| Data and AI | pandas, NumPy, scikit-learn, statistical evaluation, provenance tracking, structured outputs, agent workflows, retrieval and evidence pipelines |
| Cloud and Federal Strategy | AWS, cloud security, DevSecOps, NIST and FIPS alignment, federal modernization, mission assurance, technology evaluation, acquisition-support analysis |
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.
These are personal research and open-source projects. Views are my own. Project outputs are decision support and research artifacts, not employer or client positions, procurement authorization, medical advice, or operational approval.