Research-oriented student building AI systems, autonomous agents, and open-source tools.
My primary direction spans cognitive science, quantitative trading, and cybersecurity — domains I view as subtrees of the broader AI landscape, unified by a common focus on intelligence, adaptation, reasoning, and decision-making. My work explores large language models, intelligent agents, instruction tuning, and memory-oriented architectures, with an emphasis on practical systems and open-source contributions.
- Cognitive Artificial Intelligence
- Cognitive Science and Computational Models of Intelligence
- Quantitative Intelligence Systems (QIS)
- Algorithmic and Quantitative Trading
- Large Language Models
- Intelligent Agents and Autonomous Systems
- Instruction Tuning and Alignment
- Memory-Oriented Architectures
- AI for Cybersecurity and Resilient Systems
- Open-source AI Tooling
- Polyverse Agent — an experimental agent framework exploring memory, state transitions, and adaptive behavior
- AegisQ — a quantitative intelligence system for trading, featuring multi-agent orchestration and advanced risk management
- vi-genz-synthetic-4k — a 4k-sample synthetic Vietnamese Gen Z dialogue corpus generated under strict controlled conditions to capture modern colloquialisms and slang
- Pryzrak — contributions to a distributed systems and network-security framework with a low-level design focus
- Open WebUI — contributions to practical open-source AI interfaces
- Specialized Informatics student at Luong Van Tuy High School for Gifted
- Qualified for the Team Selection Test (Round 2), Vietnam Olympiad in Artificial Intelligence (VOAI) 2026
- Bronze Medal in Informatics, Northern and Coastal Area Olympiad
- Honorable Mention, ICPC National 2025
- Expert-rated on Codeforces
- Languages: Python, C/C++, Rust
- Focus Areas: AI systems, cognitive AI, quantitative trading, cybersecurity, agent architectures
- Secondary Interests: systems programming, networking, infrastructure, Linux
Website · Email · LinkedIn · Codeforces




