Skills
Post-Quantum & Cryptography
• Post-Quantum Cryptography (PQC)
• Crypto-Agility & Algorithm Migration
• SPHINCS+, Falcon (design & implementation considerations)
• Zero-Knowledge Proofs (ZK – architectural & integration level)
• Cryptographic Protocol Design
• Key Management & Rotation
• Entropy Provenance (QRNG / QKD)
• Secure Identity & Trust Anchors
Distributed & Decentralized Systems
• Distributed Systems Architecture
• Decentralized & Federated Systems
• Secure Consensus Mechanisms
• Fault Tolerance & Adversarial Resilience
• Byzantine Threat Models
• System Composition & Failure Modes
• Secure Networking & Protocol Layers
AI / ML (Architecture & Security)
• AI / ML System Security (Architecture Level)
• Adversarial ML Threat Modeling
• Secure AI Pipelines & Agent Architectures
• Cryptographic Verification of AI Components
• Trust, Auditability & Control in AI Systems
• Federated Learning (security & trust considerations)
Security Architecture
• Quantum-Safe Security Architecture
• Long-Lived System Design
• Bounded Failure & Resilience Engineering
• Secure Upgrade & Forkless Migration
• Defense-in-Depth Strategies
• Red-Team / Blue-Team Architectural Thinking
Engineering & Tooling
• Rust
• Systems Programming
• Secure Runtime Design
• Protocol & API Interfaces
• Testing & Validation of Security Controls
• Experimental Prototyping
Research & Applied Work
• Translating Research into Practice
• Architecture Evaluation & Design Review
• Security Documentation & Diagrams
• Cross-disciplinary Collaboration (AI, Crypto, Quantum, Systems)
About
I work at the intersection of cryptography, distributed systems, and adversarial analysis, with a focus on designing architectures that remain stable under long-term, post-quantum threat models. My work emphasizes crypto-agility, bounded failure, and compositional security rather than reliance on single algorithms or short-term assurances.
I have hands-on experience designing and prototyping systems involving post-quantum primitives, zero-knowledge techniques, secure consensus, and decentralized or federated architectures. This includes work on key management, entropy provenance (QRNG/QKD), and upgrade-safe security layers intended to survive algorithm transitions and evolving threat models.
My interest in AI/ML is architectural rather than model-centric: how learning systems, agents, or pipelines behave under adversarial pressure, how trust and verification can be enforced at the system level, and how cryptographic and consensus mechanisms can be used to constrain or audit AI-driven components in distributed environments.
I focus on translating emerging research across post-quantum cryptography, zero-knowledge proofs, and secure distributed systems into practical, testable designs suitable for enterprise systems, critical infrastructure, and long-lived platforms.
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