Cemil Cengiz
Software Engineer at Google
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolCemil Cengiz is a software engineer with 8 years of experience specializing in machine learning and production-ready, testable software. He has contributed to NLP and large-scale ML systems across academia and industry, including leading NLP efforts at OBSS and working on Gemini and Search Ads ML at Google and DeepMind. His work spans the full ML lifecycle—from data curation and automated training pipelines on multi-GPU and AWS SageMaker to fine-tuning and evaluating large language models and adding conversational features to mobile apps. Cemil combines research experience (published NLP work during his MSc) with pragmatic engineering—shipping an automatic quiz-generation system and an information-extraction pipeline that halved manual work in production. Based in Zurich, he pairs deep learning know-how with practical tooling and mentoring experience, often blending SOTA models with rule-based systems for robust solutions.
8 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Koç UniversityBachelor of Science - BS, Electrical and Electronics Engineering, Bachelor of Science - BS, Electrical and Electronics Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical University
English, Turkish
Github Skills (58)
transformers10
yolov510
large-image10
pytorch10
language-model10
python10
openmmlab10
machine-learning10
tiling10
merge10
image-to-text10
huggingface10
deep-learning10
instance-segmentation10
tensorflow10
Programming languages (4)
Github contributions (5)
obss/trapper
Sep 2021 - Nov 2022
State-of-the-art NLP through transformer models in a modular design and consistent APIs.
Contributions:12 releases, 46 reviews, 73 commits in 1 year 1 month
pythonbertstate-of-the-artsentiment-analysisnatural-language-processing
KnetML/Neural-Style-Transfer
Jan 2018 - Jan 2018
Contributions:9 commits, 6 pushes, 1 branch in 3 days
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