Mehmet Sayici
LLM Engineer at Surgo Health
Istanbul, Türkiye Turkey
Summary
👤
Senior🎓
Top SchoolMehmet Sayici is an LLM engineer with 9 years of machine learning and MLOps experience, currently building LLM products at Surgo Health after shipping an LLM+RAG conversational interview prep app with 5k+ MAU. As first engineer at gesund.ai he architected clinical-grade MLOps, helped the company reach CB Insights AI 100, and led AutoML and SAM fine-tuning for medical imaging. He has a strong research background from Stanford in attention-based CNNs for cancer classification and maintains open-source tooling (Why XAI library) alongside a popular Turkish ML YouTube channel with 13k+ subscribers. Mehmet blends production-grade engineering (SQLite retrieval systems, WebSocket TTS/STT, CI/CD, ELK/RabbitMQ) with hands-on model validation and deployment for healthcare and finance use cases. He’s comfortable moving between prototyping POCs and scaling user-facing AI products, and often pairs ML engineering with practical UX considerations such as real-time feedback. Based in Istanbul, he’s open to new opportunities that bridge research, product, and MLOps at scale.
9 years of coding experience
5 years of employment as a software developer
Özel Ihlas Koleji Fen LisesiPsikoloji, Psikoloji at Bilkent Universityİsmail Arı Bilgisayar Bilimleri ve Mühendisliği Bilimsel Eğitim Etkinliği, İsmail Arı Bilgisayar Bilimleri ve Mühendisliği Bilimsel Eğitim Etkinliği at Boğaziçi University
Turkish, İngilizce
Stackoverflow
447reputation
170kreached
33answers
5questions
Github Skills (158)
precision-recall10
average-precision10
portable9
gradient-boosting9
gradient9
statistics9
yap9
xgboost9
python9
deep-learning9
pytorch9
machine-learning9
java9
scalable8
large-files8
Programming languages (7)
Github contributions (5)
mburaksayici/GTAViceTesla
Jun 2017 - Nov 2019
Contributions:5 commits, 4 pushes, 1 branch in 2 years 5 months
mburaksayici/Why
Jan 2022 - Nov 2022
Frame-agnostic XAI Library for Computer Vision, for understanding why models behave that way.
Contributions:58 commits, 8 PRs, 26 pushes in 10 months
xai-libraryxaiagnostictensorflowunderstanding
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