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With a strong foundation in computer vision research, I've successfully transitioned to the industry, contributing to innovative AI solutions. As a Software Engineer on the APGS team at Humax Mobility Co. Ltd., I'm dedicated to developing cutting-edge technology that optimizes parking management.

Leveraging my expertise in machine learning and deep learning, I've demonstrated proficiency in Python frameworks (PySpark, Pandas, Numpy, TensorFlow, Keras, PyTorch, Scikit) and various techniques (regression, classification, clustering, recommendation systems). This enables me to deliver impactful solutions that drive efficiency and improve user experience.

Additionally, my familiarity with cloud platforms (AWS, GCP) and containerization (Kubernetes, Docker) ensures scalable and robust deployments. A commitment to continuous learning, as evidenced by certifications from Coursera and Stanford, fuels my drive to stay at the forefront of technological advancements.

I'm eager to contribute my skills and knowledge to a dynamic organization that values innovation and seeks to shape the future of intelligent parking solutions. I specialize in integrating machine learning and deep learning techniques within computer vision. I have worked on several projects involving visual object tracking, swarm robots, and intelligent video surveillance systems, funded by the National Research Foundation, Korea. 

My research interests include object detection, object tracking, segmentation, and leader-follower formation. Further, I am deeply interested in learning the latest advancements and continually seeking innovative solutions from AI models to tackle real-world challenges.