I've contributed to peer-reviewed research on transformer-based vulnerability detection, CWE classification, LIME explainability, and hybrid Android application analysis, published through Taylor & Francis and IEEE conference proceedings.
I build end-to-end ML security systems, including ML-IDS, a hybrid intrusion detection system that combines trained models with rule-based heuristics for known and zero-day threats. I also developed and trained a computer vision image-classification architecture and shared its model weights and pipeline code on GitHub.
Alongside research, I build Android applications including Solynk, a cryptographic live-messaging client, Echo, a low-latency audio tool, and productivity and inventory-tracking apps. During an industrial attachment at Sunshine IT, I worked across Android, web development, and database architecture.
