Dmitry Kulagin is a data scientist and ML/AI evangelist with nine years of experience combining hands-on modeling, software engineering and project leadership from Valencia, Spain. He has led DS/ML teams and product initiatives—most notably building an automated paid-search optimizer integrated with Adwords and Yandex—while also competing successfully in diverse data science contests across banking, retail, telecom, weather and space. Technically fluent in Python (NumPy, Pandas, SciPy, scikit-learn), deep learning frameworks (TensorFlow, Keras, PyTorch), SQL and practical ML methods from gradient boosting to neural networks, he pairs statistical rigor with production-minded engineering. Dmitry also brings back-end integration experience from open-source e-commerce work (nopCommerce) implementing payment gateway flows, showing comfort across API integration and systems code. He now focuses on applying ML to cryptocurrencies and trading, blending competition-honed modeling skills with real-world deployment experience.
9 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Computer Software Technology/Technician, Bachelor's degree, Computer Software Technology/Technician at Tula State University
ASP.NET Core eCommerce software. nopCommerce is a free and open-source shopping cart.
Role in this project:
Back-end Developer
Contributions:2 reviews, 855 commits, 80 PRs in 4 years 10 months
Contributions summary:Dmitry primarily worked on the implementation of payment integration functionality, integrating a third-party payment gateway (Square) with the nopCommerce e-commerce platform. They were responsible for modifying existing code, specifically within the payment method plugin, to authorize, capture, and refund payments. The user demonstrated the ability to integrate with external API (Square payment api), handle specific request types, including those to manage order items and to translate and provide value-based descriptions.
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