About

Jason Demeter is a skilled Machine Learning Engineer with expertise in applied deep learning using Python, Pytorch, and Tensorflow. He has a proven track record of preparing real-world datasets and training DL algorithms in domains including natural language processing and computer vision. With a problem-solving mindset, Jason is proficient at finding the appropriate state-of-the-art ML techniques on Arxiv to apply to a given problem. He is also capable in Unix shells, configuring hardware, software, and data, and is focused on writing clean, readable, and extensible code. Currently pursuing a Master of Science in Computer Engineering at the University of Dayton, Jason's focus is on natural language processing using deep learning. He is a Founding Machine Learning Engineer at atomic search where he is responsible for developing and implementing machine learning algorithms for search engines. In his previous role as a Machine Learning Engineer at Riverside Research, Jason was the technical lead for two projects involving anomaly detection in radar signals and object detection, tracking, and classification. He developed high-resolution object detection algorithms for edge deployment and performed literature reviews to develop specific recommendations for applying machine learning to specific human-intensive tasks, including object tracking, video classification, spectra classification, and anomaly detection algorithms. As a Machine Learning Intern at Riverside Research, he completed an evaluation and comparison of deep learning frameworks and created a standardized machine learning software suite for the lab. He also implemented deep neural networks for radar emitter classification and prostate cancer detection. Jason holds a Bachelor of Science in Computer Engineering and is expected to complete his Master of Science in Computer Engineering in 2022, both from the University of Dayton. He has a broad range of technical skills in ML, Deep Learning, NLP, Object detection, Object Detection, Computer Vision, Video Classification, Python, Tensorflow, Pytorch, Senior Software Engineer, and Neural Networks. With relevant experience of 0.78 years, Jason is a highly skilled Machine Learning Engineer with a passion for developing innovative solutions to complex problems.