A computer scientist with a Ph.D. in data analysis and over a decade of experience in machine learning research and development, I began my academic career as an Assistant Professor teaching machine learning, data analysis, and software development. My research spans LLM-based agent systems, natural language processing, recommender systems, and deep learning, with publications indexed in DBLP. I have led research teams in both academic and industry settings, delivering production-grade solutions for international companies. My work combines strong theoretical foundations with practical implementation, including fine-tuning large language models, building RAG systems, and developing personalized AI assistants. I maintain active engagement with research communities through publications and continuous exploration of emerging technologies. My teaching experience has shaped my ability to communicate complex technical concepts and mentor junior researchers effectively.