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AI Engineer
AI Engineer at Donkit who built an MVP that designs retrieval pipelines for client datasets.
Russian FederationAI Engineer at Donkit
Built and delivered an MVP of a RAG-based agent that automatically designs retrieval pipelines for client datasets. Developed synthetic data pipelines, benchmarking datasets, and evaluation workflows for AI agents.
RAGAI AgentsSynthetic Data GenerationEvaluation PipelinesPrompt EngineeringRetrieval SystemsPythonLang Chain
Co-authored a neural network architecture for predicting ocean currents and built statistical models to improve medium-range weather forecasting. Trained and deployed models as web services and developed a computer vision service for walrus detection in aerial photographs.
Neural NetworksDeep LearningComputer VisionStatistical ModelingModel DeploymentPythonPyTorch
Developed workforce management solutions for retail businesses, including time series analysis, data pipelines, and machine learning algorithm configuration. Integrated products into three retail chains and customized algorithms for unique business requirements.
Time Series AnalysisData PipelinesMachine LearningPythonscikit learn
Executed the first stage of a proof-of-concept module for calculating daily radiation exposure hours for trees. Analyzed orange plantation health using NDVI and multispectral data, and laid the foundation for an irrigation optimization service.
Geospatial analysisNDVIMultispectralRemote SensingPython
Bachelor of Econometrics and Operations Research with a major in Quantitative Marketing and a minor in Advanced Programming.
International Baccalaureate from TASIS in Surrey, United Kingdom.
Certificate in AI for Earth Observation.
Nanodegree in Machine Learning Engineering.
Nanodegree in Data Analysis.