My research sits at the intersection of AI, Large Language Models (LLMs), and cybersecurity, with a focus on how modern systems actually fail and how they can be secured in practice. I work on problems spanning threat detection, malware analysis, security automation, and the security implications of AI-driven systems.
My work combines research with real-world applicability, emphasizing techniques that translate into deployable security controls rather than theoretical models.
Authored Research Papers
Co-Authored Research Papers
- Fine-Tuning BERT for HTTP Payload Classification in Network Traffic
- BERT-Based RASP: Enhancing Runtime Application Security with Fine-Tuned BERT
- Leveraging Large Language Models (LLMs) for Natural Language to SQL Query Generation in HR Analytics – A Case Study on the IBM Attrition Dataset
Ongoing Research & Focus Areas
- AI-driven threat detection and threat intelligence
- LLMs for malware detection, analysis, and adversarial behavior
- Security automation and AI-assisted offensive security
These areas reflect active investigation driven by observed gaps in current security tooling and operational workflows.
Collaboration
I collaborate selectively on research that addresses concrete security problems in production environments, particularly where AI and system security intersect.
For research collaboration or technical discussion related to this work, reach out directly.