Ferhan Ture
Fellow at Comcast
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolFerhan Ture is a technical fellow and 15-year AI veteran who leads speech recognition and natural language understanding efforts at Comcast Applied AI, powering voice and conversational experiences across X1, XClass TV, Sky products and the Xfinity Assistant. With a PhD from University of Maryland and a background in cross-language IR and machine translation, he combines deep academic grounding with production-grade applied research to build customized, state-of-the-art ML systems at scale. He has progressed from hands-on research roles to senior leadership within Comcast, directing platforms that handle large-scale data and real-time spoken interactions. Prior work at BBN and IBM exposed him to cross-language question answering and Hadoop-scale ML toolkits, informing his pragmatic approach to engineering robust, deployable models. Colleagues rely on him for marrying novel algorithms to product constraints, often tailoring core models per application to maximize user value.
15 years of coding experience
14 years of employment as a software developer
Master of Science (MSc), Computer Science, Master of Science (MSc), Computer Science at Sabanci UniversityBSc, Mathematics & Computer Science, BSc, Mathematics & Computer Science at Koc UniversityThe University of Maryland, College Park
Turkish, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (24)
corpus8
clustering8
voice-recognition8
retrieval8
scale7
nlp7
portal6
information-retrieval6
java6
visualization6
spark6
natural-language-processing5
semantic-similarity4
kafka4
css4
Programming languages (2)
Github contributions (5)
Comcast/SyntaViz
Sep 2018 - Aug 2022
A visualization interface for analyzing a (very large) corpus of natural-language queries.
Contributions:11 commits, 3 PRs, 6 pushes in 3 years 11 months
nlpanalyzingsemantic-similarityvoice-recognitioncorpus
ferhanture/WikiBitext
Mar 2012 - Jul 2012
Contributions:12 commits in 3 months
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