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 β Present
- Design, develop, and deploy AI/ML solutions for Rajant AI initiatives
CART Lab, Wright State University, Dayton OH, USA August 2016 β 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: spyros.manganas@gmail.com