Alican Akca is an Artificial Intelligence Developer blending strong mathematical foundations with hands-on generative AI expertise, currently building production-grade AI at TRAICK. With eight years of experience, he specializes in Python-based tooling and research-grade evaluation of real versus synthetic imagery, using metrics like KL divergence, SSIM, and perceptual loss. He is completing a Mathematics degree with a full scholarship at İzmir Ekonomi Üniversitesi, applying rigorous analytics to AI challenges. His TÜBİTAK project as a 2209-A Proje Yürütücüsü focuses on medical imaging, exploring GANs and VAEs to generate data and assess realism when real datasets are limited. Based in Izmir, Türkiye, he bridges academia and industry, moving from internships to a lead AI developer role while delivering deployable solutions. His profile suggests a trajectory toward data-efficient, scalable AI systems that can translate complex theory into practical tools for healthcare and beyond.
8 years of coding experience
Lisans Derecesi, Matematik (Tam Burslu)(İngilizce), Lisans Derecesi, Matematik (Tam Burslu)(İngilizce) at İzmir Ekonomi Üniversitesi
Contributions:5 pushes, 1 branch in 1 year 10 months
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