Abdulkadir Ugas
PhD Candidate

About Me

I am a 1st-year PhD student at Chungbuk National University (CBNU), working in the Big Data Lab under the supervision of Professor Wanseop Cho (์กฐ์™„์„ญ). My research interests focus on Reinforcement Learning and Large Language Models, particularly LLM reasoning, Chain-of-Thought (CoT) optimization, and reinforcement learning approaches for improving the efficiency and reliability of AI reasoning.

Research Interests

Reinforcement LearningLLM ReasoningChain-of-Thought (CoT) OptimizationPost-Training Fine-Tuning (PTFT)Efficient Deep LearningTest-Time Training (TTT)Domain AdaptationRetrieval-Augmented Generation (RAG)

Languages

  • Python
  • C++
  • Java

Frameworks

  • PyTorch
  • TensorFlow
  • Hugging Face
  • FastAPI

Tools

  • Docker
  • Git
  • LaTeX
  • Linux
  • VLLM

Experience & Education

PhD in Computer Science (In Progress)

Chungbuk National University

|

Cheongju, South Korea

Mar 2026 - Present

Research focus: Reinforcement Learning, LLMs, RAG, CoT. Member of the Big Data Lab.

M.S. in Big Data

Chungbuk National University

|

Cheongju, South Korea

Sep 2023 - Aug 2025

Research focus: machine learning, Information Retrieval, RAG, Domain Adaptation, and LLMs. Member of the Big Data Lab.

B.S. in Information Technology

Simad University

|

Mogadishu, Somalia

2013 - 2018

Foundation in algorithms, data structures, and software engineering.

Research Experience

Big Data Lab Researcher

Chungbuk National University

|

Cheongju, South Korea

Sep 2023 - Present

Conducting research on RAG and large language models. Developing agenitc AI, Domain Adaptation, and RAG-based systems.

Industry Experience

App Developer

SOSTEC

|

Mogadishu, Somalia

May 2018 - Aug 2022

Developed production mobile applications using React Native and backend services with Laravel. Led cross-functional teams to deliver high-quality software solutions.

Research & Projects

Thinker-judge

LLM Reasoning & Explainability: Thinker-Judge

Developed a dual-model inference framework for transparent LLM reasoning, combining a thinking model for multi-step reasoning with an LLM-based judge for evaluating logical consistency and factual grounding.

DeepSeek-R1SFTLlama 3.1Chain-of-Thought
ARC-AGI

ARC-AGI: Improving LLM Reasoning

Researching how to improve LLM reasoning capabilities using the ARC-AGI benchmark to evaluate abstract reasoning, few-shot generalization, and rule induction from minimal examples.

ARC-AGILLM ReasoningTest-Time TrainingProgram SynthesisSelf-Refinement
Multi-Agent-RAG

Multi-Agent AI Framework

Developed a multi-agent AI system for domain-specific question answering, combining intent-based agent routing, Structure-Aware RAG, FAISS-GPU retrieval, and RAGAS-based evaluation.

LLMMulti-AgentRAGFAISS-GPURAGASFastAPI

Publications

No publications available at the moment.

Awards & Honors

Global Korea Scholarship (GKS) for Graduate Studies

Chungbuk National University (CBNU) & | 2022 - 2025

Get In Touch

I am always open to discussing research collaborations, potential projects, and new ideas. If you are interested in working together or would like to learn more about my research, I would be happy to hear from you.

Contact me

Email

ugasbanin@gmail.com

Institution

Chungbuk National University

Location

Cheongju, South Korea