Research
What I Work On
My research expertise extends beyond published papers, covering both established publication-backed projects and ongoing research interests.
RAG & Grounded AI
Retrieval-Augmented Generation, grounding, helping small language models use external knowledge, and improving the factual reliability and efficiency of AI systems.
Prompt & Instruction Engineering
Systematic design of LLM instructions: from prompt patterns and complex-task structuring to experimental evaluation.
Data-centric AI & Data Annotation
Gold datasets, crowdsourcing, expert annotation, LLM-assisted labeling, quality control, and inter-annotator agreement.
Conversational AI & AI Assistants
Dialogue-system architectures, AI assistants, speech functions, context management, and interaction scenarios.
Personalization & Computational Personality
Big Five, text-based personality prediction, simulation of personality traits, and controlled behavior of LLM personas.
LLM Evaluation, Synthetic Data & LLM-as-a-Judge
Generation quality evaluation, automated judge models, synthetic-data filtering, faithfulness, and groundedness.
Efficient AI & Small Models
Methods for transferring useful capabilities from larger models to smaller, more cost-efficient systems.
Emotional & Human-Centered AI
AI behavior in communication, personalization, emotional characteristics, and human interaction with intelligent systems.