Machine Learning Engineer with a Ph.D. in Mechanical Engineering, holding over nine years of experience in development and innovation. Proven track record of authoring articles that address analytical problems through quantitative methods, including machine learning, stochastic techniques, and optimization, with findings presented at both national and international forums. Proficient in programming languages and tools such as Python, MatLab, C++, and machine learning frameworks including TensorFlow, Keras, PyTorch, and Scikit-learn. Possesses foundational knowledge in SQL and Power BI, and adept in agile methodologies such as Scrum and Kanban. Interests encompass areas such as Artificial Intelligence, Acoustics, Data Science, Time Series Analysis, and Structural Health Monitoring/Condition Monitoring.
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