Gee Yeol Nahm

I am a Machine Learning Engineer with extensive experience in developing scalable ML systems and data pipelines. My journey has taken me through various roles where I have thrived in collaborative, multicultural environments. At DPG Media, I drove the development of real-time data pipelines for user interaction and article metadata, overseeing the full lifecycle from drafting proposals to knowledge sharing. My work in engineering recommendation systems has significantly enhanced user engagement across multiple product surfaces.

Throughout my career, I have focused on optimizing ML infrastructure and application code, ensuring reliability and performance within service level agreements. I have played a key role in establishing robust analytics pipelines to monitor key performance metrics and have led the adoption of innovative recommendation paradigms. My proactive approach to problem-solving and collaboration with stakeholders has allowed me to align technical solutions with business needs effectively.

With a solid foundation in data engineering and a passion for machine learning, I am committed to building efficient workflows and practical solutions that drive business success. I continuously seek opportunities to leverage my skills in a dynamic environment where I can contribute to impactful projects.