Muhammad Rashid Saleem

Research and develop deep learning solutions to improve and automate customer experience. Developing state-of-the-art Deep Learning solutions to solve complex problems. Deploying deep learning model using tensorRT, on inference servers. Dockerization of projects to make them production-ready. Data exploration and analysis for devising strategies Developing APIs to improve user experience. Documentation of projects.

Master-2 Thesis: Justification of classification results with deep neural networks.

Worked on the application of neural networks in control systems.

Master-1 Thesis (TER): A bibliographic study of Generative Adversarial Networks.

Bachelor Thesis: I worked on Machine Learning & Deep Learning techniques and wrote my Bachelor Thesis on Cross Device Tracking.

Worked as a part of professional services team on the Elixir Technology Software know as OPUS.

I was responsible for grading Assignments, Quizzes and conducting Lab sessions.

Machine Learning and Data Mining