Summary
Nikolay Golikov is a pragmatic data scientist and software engineer with 13 years of experience building backend systems, data pipelines, and applied machine learning solutions. Trained as an applied mathematician, he combines advanced mathematical and numerical skills with hands-on expertise in Python, C, Scala, Rust, and web frameworks like Flask and Django to tackle computer vision, image and time-series processing problems. His work spans production engineering and research-style modeling—using PyTorch/Keras for deep learning and NumPy/Pandas/Scikit-learn for data-driven prototypes—while also integrating robust RDBMS support via PostgreSQL and SQLAlchemy. Based in Ukraine, he currently delivers DevOps and AI services at SoftEthica, bringing a practical eye for scalable deployments and a background that uniquely blends scientific rigor with software craftsmanship.
13 years of coding experience
5 years of employment as a software developer
Master's degree, Applied Mathematics, Master's degree, Applied Mathematics at Donetsk National University
Русский, Украинский, Английский