Summary
Sergey Chaika is an IT leader with 8+ years of hands-on experience building and operationalizing ML-driven scoring services and computer-vision systems across banking and telecom domains. He combines practical software engineering (Python, Flask, OpenShift, Jenkins, CI/CD) with end-to-end project leadership—requirements elicitation, cross-team coordination, testing, release management and user acceptance—for large enterprises like VTB and Sberbank. His background spans deep learning (YOLO-family models on Keras/TensorFlow/PyTorch), image-augmentation and PyQt demos, low-level firmware and FEC work in C++ and assembler, and data analytics for supplier typology using clustering and statistical methods. Sergey is comfortable bridging research and production: he’s implemented model deployment pipelines, automated builds and tests, and migrated non-Agile teams to modern stacks while mentoring colleagues. Outside core duties he pursues continuous learning in ML, DevOps and project management, and applies analytical rigor from trading and sports to disciplined delivery.
8 years of coding experience
3 years of employment as a software developer
Bachelor degree, Information systems and technologies, 4.67, Bachelor degree, Information systems and technologies, 4.67 at Bauman Moscow State Technical University (BMSTU)
Русский, Английский