Recep Sarıtekin
AI Engineer at Timeless NYC
Istanbul, Türkiye Turkey
Summary
🤩
Rockstar🎓
Top SchoolRecep Sarıtekin is a Founding AI Engineer (LLM) based in Istanbul with nine years of experience building production ML, NLP, and MLOps systems. He blends research-driven model development with pragmatic deployment—creating NLP pipelines, shipping models with Spacy, PyTorch and TensorFlow, and continuously integrating recent academic advances into product workflows. An active open-source contributor, he added KMNIST and EMNIST datasets and test automation fixes to the widely used tensorflow/datasets repo and contributed to TensorFlow via Google Summer of Code. Previously a top-rated Upwork machine learning freelancer and an engineer at Zenlaw, he combines startup and consultancy experience with a somewhat eclectic background that includes time at Ankara Police College before completing a computer engineering degree.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Muğla Sıtkı Koçman ÜniversitesiAnkara Police College
English, French, Turkish
Stackoverflow
88reputation
17kreached
3answers
0questions
Github Skills (17)
python10
data-set10
testing10
machine-learning10
data-model10
datasets10
tensorflow210
tensorflow10
user-data10
numpy8
version-control6
git-checkout6
blockchain6
bitcoin6
git-branch6
Programming languages (18)
Github contributions (5)
tensorflow/datasets
Mar 2019 - Aug 2019
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Role in this project:
Backend Developer & Test Automation Engineer
Backend Developer & Test Automation EngineerContributions:1 review, 70 commits, 42 PRs in 5 months
Contributions summary:Recep primarily contributed to the addition of the KMNIST and EMNIST datasets to the `tensorflow/datasets` repository. Their work included the creation of the necessary dataset files, the integration of the new datasets into the image module, and the implementation of corresponding tests. Furthermore, the user addressed issues related to the Kaggle downloader and corrected test utility mock files, showcasing their proficiency in data handling and testing procedures.
datanumpydeep-learningdatasetmachine-learning
hemreari/easy-comment
Nov 2017 - Jan 2023
Contributions:1 PR, 1 comment, 11 issues in 5 years 3 months
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