Artem Glushchenko

Building practical AI systems focused on: • Retrieval-Augmented Generation (RAG) • AI agents • MCP ecosystem • document understanding • production Python services • vector databases • evaluation pipelines • modern AI engineering

Senior Machine Learning Engineer focused on industrial AI, predictive analytics and production ML. Delivered end-to-end solutions from requirements and exploratory analysis to production deployment. Built predictive maintenance and anomaly detection models, time-series ML pipelines, and production microservices for industrial IoT. Worked with Python, scikit-learn, TensorFlow, XGBoost, ONNX, SQL, Docker and Cumulocity IoT.