Summary
Gözde Berk is a PhD candidate in Computer Engineering at Boğaziçi University with a decade of experience building CV and NLP systems, specializing in multimodal neural machine translation, vision-language models, and generative AI. Her master’s work addressed multilingual identification of multiword expressions, and her current research ties language and visual context to improve translation quality across modalities. She has blended academia and industry as a senior AI research engineer at sahibinden.com and multiple research assistant roles, bringing practical production experience to her research. Based in Istanbul, she has contributed to international initiatives like PARSEME and maintains a long-standing interest in turning research prototypes into real-world applications. An uncommon strength is her sustained focus on multilingual and multimodal challenges, bridging deep linguistic insight with modern neural architectures.
10 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Danmarks Tekniske Universitet
High School, Graduation Degree: 9, High School, Graduation Degree: 9 at Kabataş Erkek Lisesi
Doctor of Philosophy - PhD, Computer Engineering, 3.88/4.00, Doctor of Philosophy - PhD, Computer Engineering, 3.88/4.00 at Boğaziçi University
Turkish, English, German, French, Spanish