Gurkan Soykan
Doctoral Student at inzva
Wageningen, Gelderland, Netherlands
Summary
👤
Senior🎓
Top SchoolGurkan Soykan is an AI scientist and software engineer with 10 years of experience bridging materials science, mobile/backend development, and cutting-edge NLP and multimodal research. Currently a PhD candidate at Wageningen and an AI team member at inzva, he builds adaptive digital twins for precision agriculture while mentoring and teaching applied AI bootcamps. His academic work spans multilingual instruction tuning with PEFT, transformer-based multimodal models for comics (ComicBERT, Comicsformer) and large-scale comic text datasets, reflecting a knack for niche, high-impact data curation. Equally comfortable shipping iOS apps and integrating complex APIs as he is designing reinforcement- and deep-learning systems, he brings interdisciplinary rigor and practical product sensibility to research-to-deployment challenges.
10 years of coding experience
6 years of employment as a software developer
Android Basics Nanodegree, Computer Programming, Specific Applications, Android Basics Nanodegree, Computer Programming, Specific Applications at UdacityDoctor of Philosophy - PhD, Computer Science and Engineering, Artificial Intelligence, 3.90/4.00, Doctor of Philosophy - PhD, Computer Science and Engineering, Artificial Intelligence, 3.90/4.00 at Koç UniversityDoctor of Philosophy - PhD, Social Sciences, Information Technology, Doctor of Philosophy - PhD, Social Sciences, Information Technology at Wageningen University & ResearchHong Kong University of Science and Technology (HKUST)Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Sabanci UniversityMobile Application Development and Tech Leadership, Mobile Application Development and Tech Leadership at Re:Coded
English, Japanese
Stackoverflow
166reputation
11kreached
9answers
0questions
Github Skills (120)
face-generation10
comet10
github-pages10
adapter10
pytorch-lightning10
responsive10
jekyll10
jekyll-theme10
hydra9
project-structure9
wandb9
nlp9
neptune9
python9
deep-learning9
Programming languages (10)
Github contributions (5)
inzva/emotion-recognition-drawings
Oct 2021 - Dec 2021
Multi-modal Emotion Recognition on Drawings Project - inzva AI Projects #7
Contributions:1 review, 35 commits, 3 PRs in 2 months
emotion-recognitionmulti-modalemotionmodaldeep-learning
gsoykan/SSuperGAN
May 2021 - May 2021
Self-Supervised Face Generation using Panel Context Information (SSuperGAN)
Contributions:94 commits in 25 days
supervisedface-recognitionpanelself-supervisedface-generation
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