I am a machine learning engineer with extensive experience in deep learning, causal ML and computer vision. I have demonstrated the ability to perform full-cycle AI product development—from data collection and preprocessing to model training, evaluation, and deployment.
I specialize in building scalable, interpretable ML systems for diverse applications, including RAG-based chatbots, uplift modelling systems, seismic data analysis, and more. Strong background in neural network architectures such as Transformers, CatBoost, and U-Net 3+. Highly skilled in Python, PyTorch, TensorFlow, and data visualization tools. Proven ability to design custom pipelines and performance monitoring frameworks, with a solid foundation in software engineering and scientific research.
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