High school student studying cognitive science and psychology applied to AI, with a focus on memory, behavior, and intelligent agents.

My main direction focuses on building AI systems inspired by cognitive science, general psychology, behavioral psychology, and neuroscience — especially systems involving memory, internal states, behavior modeling, and adaptive agents.

I am interested in how artificial systems can use memory structures, psychological rules, and biologically inspired mechanisms to organize information, model behavior, and support practical AI tools.

• Cognitive Artificial Intelligence
• Psychology Applied to AI
• Behavioral Psychology and Behavior Modeling
• Biologically Inspired AI Systems
• Memory-Oriented Architectures
• Internal-State and Adaptive Behavior Modeling
• Intelligent Agents and Autonomous Systems
• Neuroscience-Inspired AI Systems
• Large Language Models
• Instruction Tuning and Alignment
• Synthetic Data Generation
• Quantitative Intelligence Systems
• AI for Cybersecurity and Resilient Systems
• Open-source AI Tooling

• Polyverse Agent — an experimental agent framework exploring memory, state transitions, internal states, and adaptive behavior

  AI agents · memory systems · cognitive architecture · state-based agents

• Vietnamese Gen Z Synthetic Data — a 4k-sample synthetic Vietnamese Gen Z dialogue corpus generated under controlled conditions to capture modern colloquialisms and slang

  Vietnamese NLP · synthetic data · dialogue modeling · language behavior

• Pryzrak — contributions to a distributed systems and network-security framework with a low-level design focus

  systems programming · distributed systems · network security · low-level design

• Open WebUI — contributions to practical open-source AI interfaces

  open-source AI · LLM interfaces · AI tooling

Languages: Python, C/C++, Rust AI/ML: PyTorch, Transformers, embedding models, LLM tooling, synthetic data, evaluation pipelines Systems: Linux, Docker, networking, backend infrastructure Focus Areas: cognitive AI, psychology applied to AI, behavior modeling, memory systems, agent architectures, open-source AI tools

• Selected to participate in Vietnam’s 2026 National Team Selection Test for the International Olympiad in Artificial Intelligence (IOAI)
• Participant in VAIC 2026 — Vietnam AI Championship
• ICPC National 2025 Honorable Mention
• Bronze Medal in Informatics, Northern and Coastal Area Olympiad
• Codeforces Expert

I am currently exploring how artificial agents can maintain memory, internal states, and adaptive behavior over time through mechanisms inspired by cognitive science, behavioral psychology, and biological systems.

My long-term goal is to develop AI systems that are not only task solvers, but also structured, persistent, and behaviorally adaptive systems with richer memory, state, and behavior-control mechanisms.