Kittipat "Bot" Kampa
About Kittipat "Bot" Kampa
Kittipat 'Bot' Kampa is a Staff LLM Data Scientist at TIFIN, with extensive experience in machine learning across various industries, including eCommerce and neuroscience. He holds advanced degrees in machine learning and has worked at notable companies such as Amazon and Redfin.
Work at TIFIN
Kittipat Kampa has been employed at TIFIN as a Staff LLM Data Scientist since 2024. His role is based in Seattle, Washington, and he works remotely. Kampa previously held the position of Head of AI at TIFIN for three months earlier in 2024, where he contributed to the development of AI strategies and applications.
Education and Expertise
Kampa holds a Master of Science and a Ph.D. in Machine Learning from the University of Florida, where he studied from 2004 to 2011. He is currently pursuing postdoctoral studies in Computational Neuroscience at the University of Washington. His expertise includes applying machine learning techniques to cognitive neuroscience and remote sensing data, as well as skills in information-theoretic learning and probabilistic graphical models.
Background
Kampa's professional background includes significant experience in machine learning and data science. He worked as a Machine Learning/Research Scientist at Amazon from 2013 to 2015 and served as a Staff Machine Learning Engineer at Redfin for nine years, from 2015 to 2024. His early career included a role as a Research Assistant at the Computational NeuroEngineering Laboratory and an internship at the USDA-ARS-Southwest Watershed Research Center.
Technical Skills
Kampa possesses a diverse programming skill set that includes Python, R, SQL, MATLAB®, Bash, and SAS. His technical capabilities enable him to develop predictive models for various applications, including fraud detection and enhancing customer experience. He has applied his machine learning skills across multiple domains, including eCommerce, real estate, neuroscience, and computer vision.
Professional Achievements
Throughout his career, Kampa has focused on developing predictive models and enhancing customer experiences through machine learning. His work has spanned various industries, demonstrating his ability to apply complex machine learning techniques to real-world problems. His contributions to AI and machine learning have been recognized in multiple roles, including leadership positions in organizations.