At Ala-Too International University, I built a full-stack notebook application with Spring Boot, React, and REST APIs, including authentication, CRUD, and image uploads.
My machine learning projects include NetGuard, which classified attacks in NSL-KDD data with 99.86% accuracy, and an autoencoder-based DoS detector that achieved 93.45% accuracy and was published as a preprint.
I also built CloudGuard, a Python AWS security auditor that found four critical misconfigurations in a test account, and added Bandit SAST to its CI pipeline.
My other projects include an agentic RAG assistant, Android applications, and QuranCompanion, a deployed Telegram bot serving users in 17 languages. I hold a BSc in Computer Science from Ala-Atoo International University.
