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I'm a self-driven machine learning engineer with in-depth analytics, programming, and problem-solving skills. I'm highly motivated and always up for a challenge, with experience in multi-disciplinary research projects. My main interest lies in machine & deep learning, and data analysis.

I'm proficient in:

• Machine Learning: linear and logistic regression, decision trees, random forest, SVM, gradient boosting, deep neural networks, KNN, Naive Bayes etc
• Deep Learning: CNN, RNN, LSTM etc
• Languages: Python, Swift, Matlab, JavaScript
• Frameworks/Libraries: NumPy, pandas, scikit-learn, TensorFlow, Keras, Dash, React, Flask
• Tools/Platforms: Git, Jupyter Notebook, Google Colab, Docker, Linux/Unix, Windows, macOS

This is just a sampling of my skills and expertise, and I'm always eager to expand my knowledge and work with new tools and technologies.

Rajant Corporation, Malvern PA, USA June 2020 – Present

• Design, develop, and deploy AI/ML solutions for Rajant AI initiatives

CART Lab, Wright State University, Dayton OH, USA August 2016 – June 2020

• Worked as a teaching assistant for the courses of Computer Architecture, Foundation of Artificial Intelligence, and Computer Vision
• Assisted undergraduate and graduate students with completion of course-affiliated assignments and projects
• Assisted in software engineering and artificial intelligence courses
• Scientific paper and journal reviewer, reviewed more than 50 scientific conference and journal papers in the area of artificial intelligence, machine learning and engineering in medicine and biology
• Served as Publicity Chair, Webmaster, and Session Chair for IEEE Conferences

• LinkedIn: https://linkedin.com/in/spyridon-manganas
• Email: [email protected]