성국 조
About 성국 조
성국 조 is an AI Research Engineer with a master's degree in computer engineering from Korea University. He specializes in OCR parsing, contrastive learning techniques, and Retrieval-Augmented Generation using large language models.
Work at 42dot
Currently, 성국 조 serves as an AI Research Engineer at 42dot, a position he has held since 2024. His role involves specializing in Retrieval-Augmented Generation, leveraging large language models such as ChatGPT and LLaMA. He focuses on end-to-end OCR modeling, which encompasses deblurring, detection, and recognition processes. His contributions are significant in advancing the capabilities of AI technologies within the organization.
Previous Experience at 신한은행
Before joining 42dot, 성국 조 worked as an AI Research Engineer at 신한은행 from 2021 to 2024. During his tenure, he developed skills in object recognition, particularly in detection and segmentation within the field of computer vision. His experience at 신한은행 provided him with a solid foundation in AI research applications in the financial sector.
Education and Expertise
성국 조 studied at Korea University, where he earned a master's degree in 컴퓨터 공학(소프트웨어) from 2020 to 2022. His academic background has equipped him with a strong understanding of AI and machine learning concepts. He possesses expertise in contrastive learning techniques, including domain adaptive pre-training and text embedding, and engages in OCR parsing using 2D NLP techniques as part of multi-modal tasks.
Technical Skills in AI Research
In his professional career, 성국 조 has developed a range of technical skills in AI research. He specializes in contrastive learning techniques and has a focus on object recognition, particularly in detection and segmentation. His work involves advanced methodologies such as end-to-end OCR modeling, which integrates various processes to enhance the efficiency and accuracy of AI systems.