Working student machine learning
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My previous experience includes Working Student in the Machine learning domain at Siemens
AG Munich, where I have worked on Implementing AI-based process optimization for Machine tools which results in Adaptive manufacturing.
My previous experience includes Working Student in the Machine learning domain at Siemens AG Munich, where I have worked on Implementing AI-based process optimization for Machine tools which results in Adaptive manufacturing. I have also done projects like Unsupervised Defect Detection on cutting tool images using Deep Learning and Detecting Fake Tweets using NLP. I have also published a research paper titled “Detection of Diabetic Retinopathy using Convolutional Neural Network” in Elsevier-SSRN.
I am proficient in Python programming and familiar with popular machine-learning libraries such as TensorFlow, Keras, OpenCV, and PyTorch.
I am currently enrolled in a Master’s program in Artificial Intelligence at Friedrich-Alexander University, Erlangen, where I gained a solid foundation in machine learning techniques and algorithms. I have a particular interest in deep learning, computer vision, and Natural Language Processing and have pursued this further through various projects, coursework, and hands-on experience.