I work on AI systems for structured reasoning, with a focus on improving reliability and verifiability in large language models.
Selected Project
- JANUS — Neuro-symbolic framework for verifiable reasoning in LLMs
My recent work, JANUS, explores neuro-symbolic approaches that combine LLMs with deterministic verification to improve reasoning accuracy in domains with strict logical constraints.
Previously, I worked on dynamic malware analysis and sandboxing systems at KAUST's CyberSaR Lab, where I investigated the limitations of automated analysis and LLM-based approaches in complex execution environments.
- Neuro-symbolic systems and verifiable AI
- LLM reasoning and answerability
- Systems-level applications of machine learning
I’m open to research discussions and collaboration. Feel free to reach out or explore my repositories.