Summary
Barış Topal is a machine learning researcher with eight years of experience focused on generative vision models and multimodal architectures, currently developing conditional quality enhancement and super-resolution systems for images and video at Pixery in Istanbul. He holds an M.Sc. from Koç University where his research produced near‑SOTA detectors for drawings, comics and cartoons using self‑supervised teacher‑student networks and style transfer to leverage unlabeled data. His background spans applied ML projects from driver monitoring systems (face, gaze, drowsiness) to real‑time 3D pose‑based activity recognition and multimodal emotion recognition for comics, where transformer-based pipelines yielded competitive challenge results. Barış combines hands‑on engineering with research rigor—publishing code like SSuperGAN and emotion‑recognition repositories—bridging academic prototypes and production constraints. He is equally comfortable designing novel architectures and optimizing cross‑compiled, embedded ML pipelines, reflecting a practical bent for shipping models in constrained environments. Known for extracting value from limited annotations, he excels at adapting large‑scale vision methods to stylistically diverse domains.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BS) Computer Science and Engineering, Bachelor of Science (BS) Computer Science and Engineering at Sabanci University
High School Mathematics and Natural Sciences, High School Mathematics and Natural Sciences at Istanbul Erkek Lisesi
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Koç University
Exchange Student Computer Science and Engineering, Exchange Student Computer Science and Engineering at National University of Singapore
English, German, Turkish