Fatih Öztürk is a Principal Data Scientist based in Istanbul with five years of professional experience and a background in industrial engineering from Boğaziçi University. A Kaggle Grandmaster, he specializes in Python and R for classification, regression, image recognition, and text mining, with hands-on expertise in XGBoost, LightGBM and neural networks. At H2O.ai he moved from Data Scientist to Principal, contributing notable backend enhancements to the high-profile h2ogpt project—adding multi-agent support and code execution utilities that expand its private, local-LM capabilities. His prior work includes productionizing risk-scoring models for insurance and creating a statewide wildfire risk map for California, showing an ability to take complex ML work end-to-end from modeling to deployment. Known for tackling imbalanced datasets and integrating models into APIs and databases, he blends competition-honed modeling skill with practical production engineering.
5 years of coding experience
5 years of employment as a software developer
BSc, Honour, Industrial Engineering, BSc, Honour, Industrial Engineering at Boğaziçi University
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
Role in this project:
Back-end Developer
Contributions:28 reviews, 30 PRs, 94 pushes in 1 year 6 months
Contributions summary:Fatih primarily focused on enhancing the backend functionality of the h2ogpt project. Their contributions involved the introduction and refinement of multi-agent support through the integration of autogen agents and utilities. The user made code modifications to support agent types, integrate code executors and implement system changes to existing backend modules. These changes demonstrate an understanding of the project's architecture and the ability to extend its capabilities.
Contributions:8 commits, 8 pushes, 2 branches in 1 day
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