Kamil Toraman is a software engineer with 11 years of experience blending NLP, data science, and quantitative research into production systems. A KAIST-trained computer scientist who interned at Yahoo and has worked across startups and research-oriented teams, he currently builds software at Fathom after roles at Lighter and Dynamic Technology Lab. His background spans ML automation, text mining, and quantitative research, enabling him to move models from prototyping to scalable deployments. Comfortable at the intersection of research and engineering, he has entrepreneurial experience from a stint at Antler and a track record of shipping practical solutions for membership and finance-adjacent problems. Based in Miami with ties to Canada, he brings a multicultural academic path and a curiosity-driven approach to problem solving that often uncovers signal in noisy text data.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Georgia Institute of Technology
Computer Science, Computer Science at Bilkent University
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Korea Advanced Institute of Science and Technology
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