Timeline

Researching and developing generative and agentic AI frameworks for cyber threat intelligence and multi-domain applications, bridging academic research with end-to-end security automation.

Focus areas:

• Benchmarking long-term memory-layer architectures and token efficiency across model variants for LLM-driven agents in cybersecurity applications.
• Designing agentic workflows for the verification, filtering, and enrichment of OSINT and threat-intelligence data.
• Integrating LLM-agent harnesses, tools, and memory layers into end-to-end security-automation pipelines.

Cybersecurity engineering programme focused on systems, networks, AI, and security engineering.

Foundation in software engineering, systems, artificial intelligence, and computer networks.