Doruk Kilitcioglu is a Director of Data Science at Fidelity with 11 years of experience applying machine learning to personalization and recommender systems. He blends research-grade expertise in NLP, Bayesian statistics, time series and deep learning with hands-on engineering in Python, Java and scalable tooling like TensorFlow, scikit-learn and Hadoop. A former NYU MSCS adjunct and music recommendation researcher, he has pushed production improvements—such as accelerating playlist builds—by translating algorithmic advances into measurable product impact. He brings cross-domain experience from bioinformatics to finance, a proven track record of shipping large-scale personalization features, and an unusual balance of analytical rigor and creative curiosity informed by interests in music performance and Renaissance art.
11 years of coding experience
5 years of employment as a software developer
Incoming Exchange, Incoming Exchange at The University of Queensland
Masters Computer Science, Masters Computer Science at New York University
High School, High School at Robert College
Bachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at Boğaziçi University
Contributions:80 commits, 17 PRs, 60 pushes in 8 months
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