I strive to develop services that deliver real value to users — not just by building what’s technically impressive, but by applying technology in ways that matter.

My interests lie in the following areas, and while I still have a lot to learn, I'm continuously growing and improving:

• Application of LLMs: Exploring how large language models can enhance various processes, including data preprocessing.
• Recommendation Systems: Personalizing item serving for each user.
• Ontology & Graph Neural Networks: Structuring and representing user preferences systematically.
• Anything That Makes a Service Smarter and More Helpful

• Serving AI services fast and efficiently — from APIs to scalable architecture.

• Leveraging tools like Airflow, MLflow, and BentoML to streamline AI research, experimentation, and deployment.

• Making the most of the resources we have through efficient infra design and ops strategy.