Open to opportunities

Wahidur Rahman

@wahidurrahman2

Message

I build and evaluate LLM, RAG, and agentic AI systems for legal and enterprise applications.

South Korea

Message

What I'm looking for

I'm looking to translate LLM, RAG, and agentic AI research into secure, production-ready enterprise solutions, working across research and business teams on real-world AI products.

At GIST, I designed LQ-RAG, an agent-based iterative RAG framework for legal question answering that improved relevance by 23% over standard RAG and was published in IEEE Access. I also published research showing fine-tuning improved zero-shot cryptocurrency sentiment performance by 40%.

At Libervance, I lead evaluation of generative AI systems and guide NLP pipeline and model-selection decisions adopted in production on the MY AI platform. I bring 10+ years of enterprise engineering and delivery experience across Ericsson, Huawei, and telecommunications organisations, translating AI research into secure, deployable solutions.

Experience

Work history, roles, and key accomplishments

Current

AI Research Scientist (PhD Candidate)

Current

Gwangju Institute of Science & Technology (GIST)

Mar 2020 - Present (6 years 5 months)

Designed LQ-RAG, an agent-based iterative RAG framework for legal document QA, achieving significant improvements in relevance and ranking metrics. Conducted benchmark evaluations of LLMs for zero-shot cryptocurrency sentiment classification, published in IEEE Access.

Large Language Models Agentic AI Fine Tuning Prompt Engineering LLM Evaluation Vector Databases Sentiment Analysis Hugging Face PyTorch scikit learn Pandas NumPy Python BASH Git GitHub Jupyter

Education

Degrees, certifications, and relevant coursework

Gwangju Institute of Science and Technology

M.S./Ph.D. Integrated Program, Electrical Engineering & Computer Science

2020 -

M.S./Ph.D. Integrated Program in Electrical Engineering and Computer Science, focusing on Large Language Models, Retrieval-Augmented Generation, and Agentic AI systems.