I am a Senior AI and Machine Learning Engineer with strong expertise in building scalable, data-driven systems across healthcare, finance, and e-commerce. Also I combines deep learning, natural language processing, and computer vision to develop intelligent products that deliver measurable results.
I have extensive experience with modern frameworks such as PyTorch, TensorFlow, and Hugging Face, and applies MLOps practices using MLflow, Kubeflow, and Airflow to ensure smooth deployment and reliability. My work focuses on clean architecture, cloud-native design, and performance optimization across AWS, Azure, and Google Cloud.
I am passionate about creating AI solutions that turn complex data into practical insights and drive meaningful innovation. I continue to explore ways to make advanced machine learning accessible, efficient, and impactful in real-world applications.
I enjoy mentoring teams, simplifying technical challenges, and building products that make a real difference. Currently open to fully remote roles focused on Python, AI/ML, and backend development across the EU.
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