John Rothman

Research, development, and quantitative analysis for job scheduling within Kubernetes in Machine Learning environments. Evaluate existing and new AI/ML algorithms to identify ones that best fit requirements for partner companies Telemetry monitoring and job scheduling using Docker and Kubernetes with a RL implementation Resource planning, collaboration, and orchestration with partner companies for ML related tasks on the BRAINE EMDC.

Data generation and preprocessing Planned, modified and executed machine learning techniques. Including using deep neural Networks with pretrained weights, and Autoencoders. Image Classification with Deep Neural Networks in Tensorflow. Analysis of images in the frequency domain with Fourier transformations Work on documentation and support for reports and papers

Assisted in Advanced Marketing Lecture Implemented Machine Learning algorithms on coursework datasets Prepare and execute practical exercises on conjoint analysis with over 30 students

Research Scientist in Data Analytics, Data Scientist , Big Data Engineer, Machine Learning Scientist, Business Intelligence Analyst. My focus was on Computer Vision, and my thesis was in Image Similarity.

Digital Signal Processing.