Osman Fatih Kilic
About Osman Fatih Kilic
Osman Fatih Kilic is a Machine Learning Engineer with a strong academic background in Electrical and Electronics Engineering, holding both a Bachelor's and a Master's degree from Bilkent University. He specializes in natural language processing and has worked in various roles across the United States and Turkey, currently employed at Just Appraised in Palo Alto, California.
Work at Just Appraised
Osman Fatih Kilic has been employed at Just Appraised as a Machine Learning Engineer since 2020. In this role, he applies his expertise in machine learning and natural language processing to enhance the company's technological capabilities. His work contributes to the development of innovative solutions that leverage data for improved decision-making in the appraisal industry.
Education and Expertise
Osman Fatih Kilic holds a Bachelor of Science (B.S.) in Electrical and Electronics Engineering from Bilkent University, where he achieved a GPA of 3.85/4.00 from 2010 to 2015. He furthered his education with a Master of Science (M.Sc.) in the same field at Bilkent University, attaining a GPA of 3.57/4.00 from 2015 to 2017. His academic background provides a strong foundation in electrical engineering principles, complemented by a specialization in natural language processing.
Professional Experience
Osman Fatih Kilic has accumulated diverse experience in the field of machine learning. He worked as a Machine Learning Engineering Intern at CognitiveScale for five months in 2018, where he gained practical experience in Austin, Texas. He also served as a Research and Teaching Assistant at The University of Texas at Austin from 2017 to 2018. Prior to his current position, he worked at Yapı Kredi Teknoloji as a Machine Learning Engineer from 2019 to 2020 in Istanbul, Turkey.
Research Contributions
Osman Fatih Kilic has contributed to research in the field of electrical and electronics engineering. He worked as a Research Assistant at Bilkent University from 2015 to 2017 and at UNAM Institute of Materials Science and Nanotechnology for three months in 2014. His research experience has equipped him with skills in data analysis and information extraction, particularly in the context of complex documents.