Muhammed Pektaş is an ML engineering team lead and PhD candidate in computer engineering based in Izmir, Turkey, with nine years of software and research experience and nearly five years focused on industrial machine learning. He has led production-ready ML initiatives at HubX, advancing generative and descriptive computer vision models for mobile apps that have reached global audiences. Prior to that he drove research and productization of facial anonymization, GANs, model compression, and knowledge distillation at Syntonim, contributing from prototype research to real-time deployment. Comfortable spanning research and engineering, he specializes in taking novel CV models from concept to efficient serving in production. He combines academic depth (MS and ongoing PhD) with startup grit and an interest in science and entrepreneurship, often prioritizing practical system constraints like model size and latency. Colleagues describe him as a practitioner who bridges rigorous research with scalable product engineering.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Konya Teknik Üniversitesi
Doctor of Philosophy - PhD Bilgisayar Mühendisliği, Doctor of Philosophy - PhD Bilgisayar Mühendisliği at İzmir Bakırçay Üniversitesi
Master of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at Ege University
This package simplifies the fundamental software engineering practices such as exception handling, logging etc.
Contributions:5 releases, 4 PRs, 33 pushes in 1 year 1 month
cachedecoratorsexception-handlingpythontimer
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