Skills
Post-Quantum Cryptography (PQC), Quantum Key Distribution (QKD), Quantum Machine Learning (QML), Cybersecurity Risk Analysis, Crypto-Agility, Threat Modeling, Network Security Simulation, Python, Qiskit, PennyLane, C++, Cryptographic Exposure Mapping, BB84 Protocol, Falsifiable Benchmarking, LaTeX
About
Applied quantum physicist and systems engineer specializing in post-quantum cryptography (PQC) migration, quantum key distribution (QKD) network modeling, and quantum machine learning (QML) diagnostics. Experienced in translating complex cryptography standards (NIST FIPS 203/204/205) and quantum literature into deployment-aware roadmaps, harvest-now-decrypt-later risk analyses, and executive-ready technical reporting. Proven track record in evaluating hybrid quantum architectures, assessing ML-KEM/Kyber side-channel vulnerabilities, and simulating secure communications under strict hardware and physical security constraints.
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