Technical Research
Hands-on technical projects and research experiments across AI security, post-quantum cryptography, cloud resilience, and governance frameworks.
Research Themes
AI & Security
Adversarial machine learning, AI governance frameworks, model assurance, and translating AI risk into board-level metrics.
Post-Quantum Cryptography
Practical PQC roadmaps, crypto agility assessments, and migration playbooks for financial services and critical infrastructure.
Cloud & Digital Transformation
Resilience architectures, multi-cloud governance, cost optimization, and data residency aligned to service-level objectives.
Risk & Board Oversight
Risk appetite frameworks, control mapping, and regulatory compliance (RMiT, PDPA, Cybersecurity Act) translated to actionable board metrics.
Active Projects & Experiments
HomeLab / AI Workbench
ActiveHigh-end machines with GPU acceleration for local LLM deployment (Ollama), RAG pipelines, secure prompt operations, and evaluation harnesses for AI model testing.
Cloud Security & PaaS Prototype
ActiveReference Platform-as-a-Service for advanced threat modeling, IAM boundary testing, least-privilege enforcement, and resilience drill simulations.
PQC Readiness Framework
ResearchCryptographic inventory tooling, algorithm agility assessment frameworks, and migration playbooks for transitioning to post-quantum cryptography.
Automated Compliance Reporting
ResearchAI-driven regulatory reporting automation and compliance mapping aligned to evolving regulations (RMiT, PDPA, Cybersecurity Act).