About Me

My Professional Background

I am an AI Engineer & a Data Scientist with 4 years of experience working with PySpark, Python (NumPy, Pandas, scikit-learn, Seaborn), and MySQL. I have a strong foundation in Machine Learning (classification and regression), Deep Learning (TensorFlow), and Generative AI, with a particular focus on Agentic AI systems.

I believe that in an ever-evolving field like data science, breadth of knowledge is as important as depth of expertise. With this mindset, I have explored and built practical experience across core ML and DL domains including Computer Vision, Recommendation Systems, and Natural Language Processing (NLP).

I am highly driven by continuous learning and enjoy challenging myself with emerging technologies. Recently, I have been working extensively with Agentic AI frameworks and workflows, including OpenAI Agents SDK, CrewAI, LangGraph, AutoGen, and MCP. I have leveraged these technologies to build multiple end-to-end, production-oriented tools, complete with Gradio-based frontends, solving real-world business problems.

Looking ahead, I am keen to deepen my understanding of Artificial General Intelligence (AGI) and AI Safety. As AGI continues to evolve and unlock transformative potential, I am particularly interested in contributing to the responsible development of AI systems, balancing innovation with safety and alignment, and experiencing their real-world impact firsthand.

I get excited about opportunities where I can weave concrete data science knowledge with business acumen to generate results that create impact! I also love to work and connect with people from different walks of lives as well as different cultures which is why I learned how to read and write in Korean!

Outside of work, you’ll find me training at the gym or experimenting with new viral recipes. This year, I’m focused on rebuilding my reading habit and reconnecting with my love for dance after a long break.