Muhammed Pektaş

ML Engineering Team Lead at HubX

Izmir, Izmir, Turkey
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Summary

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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.
code9 years of coding experience
job6 years of employment as a software developer
bookBachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Konya Teknik Üniversitesi
bookDoctor of Philosophy - PhD Bilgisayar Mühendisliği, Doctor of Philosophy - PhD Bilgisayar Mühendisliği at İzmir Bakırçay Üniversitesi
bookMaster of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at Ege University
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Github Skills (75)

diffusion-models10
deep-learning10
image-generation10
computer-graphics10
cyclegan10
face10
audio10
face-recognition10
image-translation10
diffusers10
image-manipulation10
flux10
face-detection10
pytorch10
dcgan10

Programming languages (4)

TypeScriptHTMLJupyter NotebookPython

Github contributions (5)

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Created simple recommendation system using with Sklearn,Numpy,Flask,Pandas,Html,Bootstap
Contributions:14 commits, 3 PRs, 4 pushes in 1 year 6 months
pythonsklearnnumpyflaskrecommendation
m-pektas/pysimpler

Aug 2023 - Oct 2024

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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