I'm a Computer Science student at Kyungpook National University working on reliable, evidence-grounded LLM systems. My research looks at how language models use the evidence they're given, in multi-document question answering, retrieval- and search-augmented reasoning, and tool-using agents. I also build software: Mahallify, a location-based community platform I founded, and ADVS, an OCR system that verifies Korean administrative documents.

Education

Kyungpook National University, B.S. in Computer Science, Daegu. Expected graduation: August 2027.

Languages

• Uzbek — Native
• English — Professional working proficiency
• Korean — Professional working proficiency
• Russian — Limited working proficiency

Research interests

• LLMs
• Retrieval-augmented generation (RAG)
• AI agents
• Information Retrieval
• Trustworthy AI

Professional highlights

• Microsoft Student Ambassador — first Uzbek Microsoft Student Ambassador in South Korea.
• Accepted research paper: “Evidence Position Sensitivity Across Document-Count Conditions in Multi-Document QA” — 7th Korea Artificial Intelligence Conference (Korea AI 2026).

Contact · CV