Suggestions
Daniel Suh
AI/ML - Deep Learning - Computer Vision Software Engineer "WE ARE HIRING!!"
Professional Background
Daniel Suh is a dynamic and innovative professional who has made significant strides in the fields of artificial intelligence (AI) and machine learning (ML). Currently serving as a Lead AI Developer and Computer Vision Engineer at Hosta Labs, Daniel is at the forefront of technological advancement, where he is dedicated to developing a pioneering algorithm transformative enough to convert single 2D images into 3D models. His role at Hosta Labs underscores not only his technical prowess but also a deep commitment to leveraging AI to solve real-world challenges.
Previously, he showcased his talents as an AI and ML Developer at MindsLab, a trailblazer in AI as a service (AIaaS) solutions specializing in natural language processing (NLP) and visual AI applications. During his internship, Daniel contributed to sophisticated algorithm development for prestigious clients, such as the Government of Seoul and Incheon Airport, reflecting his ability to operate on high-impact projects with real-world applications. His internships have provided him with rich insights and hands-on experience that only bolster his professional journey.
Education and Achievements
Daniel is equipped with a strong academic background, having completed a Master of Science in Business Analytics at Brandeis University in December 2019. He previously graduated with a Bachelor of Arts in Economics from Brandeis University and a degree in Computer Science from Seoul National University, a prestigious institution recognized globally. His educational journey has been marked by a comprehensive understanding of both the theoretical and practical aspects of data science and analytics, enabling him to apply these skills effectively in various settings.
Among his notable accomplishments during his studies, Daniel was part of a talented team that clinched the grand prize out of 1,000 teams in a nationwide competition. They developed a robust model integrating embedded machine learning to provide personalized product recommendations for consumers. This innovative algorithm is currently deployed by the competition sponsor, L-Point Marketing Analytics, showcasing its tangible impact in the marketing sector. Furthermore, his team also achieved third place in another competition involving the development of an algorithm that utilizes financial transaction data alongside machine learning techniques to predict potential overdue loans, an initiative supported by the National Information Society Agency and the Korean Big Data Alliance.
Key Skills
Daniel is proficient in various programming languages such as Java, C, Python, R, and JavaScript, and frameworks including Django, TensorFlow, Pytorch, and Keras. His technical arsenal extends to mastering database management systems like MySQL and AWS, alongside tools for statistical analysis, automation testing, predictive modeling, and deep learning. He excels in areas of artificial intelligence, statistical analysis, data analysis, robotics, computer vision, and natural language processing. This comprehensive skill set positions him as a valuable asset in any tech-driven organization.
Additionally, he possesses in-depth knowledge of neural network architectures and learning algorithms, including reinforcement learning, making his understanding of AI algorithms profound and multifaceted. His technical expertise is complemented by a strong foundation in teamwork and collaboration, enabling him to thrive in groups and contribute to successful project outcomes.
Organizations and Internships
Daniel has built an impressive resume through various professional experiences. At Hosta Labs, he leads as an AI/Computer Vision Developer, driving innovation in the AI landscape. Before that, at MindsLab, he had the opportunity to implement his skills in real projects focused on practical AI advancements. His internships at HSBC and Hyundai Heavy Industries Co., Ltd provided him with well-rounded exposure to business intelligence and analytics, cultivating a nuanced understanding of the intersection between technology, finance, and operations.
With a GitHub profile highlighting his coding and project contributions, Daniel continues to engage with the tech community, demonstrating his ongoing commitment to personal and professional development in the AI field.