Dmitry Prihodko

Designed a Digital Twin of a thermal power station integrating 2,500+ real-time signals for predictive analytics. Built real-time data pipelines using Python, gRPC, MQTT, InfluxDB. Deployed distributed microservices with Docker and Kubernetes. Developed IIoT architecture for oil & gas infrastructure (LUKOIL).

Developed web-based SCADA extensions and predictive maintenance modules (React, Next.js). Designed a domain-specific language (FBD-based) for industrial logic configuration. Built a cross-platform IEC 61131-3 module library, reducing project delivery time by ~25%. Led SAT/FAT commissioning for 3 oil pumping stations.

CFD simulations (ANSYS CFX) for VVER-type nuclear steam generator vibration analysis. Validated results against experimental data via PIV/LDV laser diagnostics. Integrated measurement sensors with C++ (OpenCV, NI-DAQmx). Developed automated data analysis tools in Python and MATLAB.

Automated a hazardous electroplating line, removing operator from toxic environment and improving coating yield by 12%. Designed closed-loop cooling control system for 5 kW microwave load (ATmega48). Optimized C++ libraries for additive manufacturing (CuraEngine, Marlin).

Master's degree in design and engineering of nuclear and thermal power plants. Studied thermodynamics, heat transfer, fluid dynamics, and power station equipment design. Practical research included CFD simulation and analysis of thermal-hydraulic processes in nuclear-grade systems (VVER-type reactors).