Pınar Akyazı
Vision AI Solutions Architect at Robovision
Ghent Metropolitan Area Belgium
Summary
👤
Senior🎓
Top SchoolPınar Akyazı is a Vision AI Solutions Architect with nearly a decade of experience bridging deep research and commercial video solutions, currently architecting vision AI at Robovision from Ghent. She holds a PhD from EPFL where she developed learning-based image compression and multimedia quality assessment models and played a leadership role in JPEG AI and JPEG XL standardization. Transitioning to industry, she managed strategic accounts and sales programs for leading video distributors (including United Group, Deutsche Telekom and Sky) and brings hands-on project management for end-to-end video processing and CDN deployments. Known for rapid learning and pragmatic problem solving, she combines academic rigor in machine learning and biomedical imaging with a track record of turning research prototypes into customer-facing products. An active connector across research and standards communities, she brings both technical depth and commercial savvy to complex vision AI initiatives.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at EPFLMaster of Science - MS Electrical and Electronics Engineering, Master of Science - MS Electrical and Electronics Engineering at Boğaziçi University
Github Skills (2)
pdf5
jpeg5
Programming languages (2)
Github contributions (5)
pinarakyazi/codec_compare
May 2018 - Nov 2018
https://jpeg.org/downloads/jpegxl/jpegxl-draft_cfp_2.pdf
Contributions:27 commits, 1 PR, 22 pushes in 5 months
jpegjpegxlpdfcfp
pinarakyazi/pinarakyazi.github.io
May 2018 - Jun 2019
Contributions:37 pushes, 1 branch in 1 year 1 month
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