About

Austin Vas is an aspiring IT Engineer with a keen interest in Industrial Automation, Industrial IoT, deep learning, machine learning, data analytics and visualization, autonomous vehicles, and robotics. He is currently working as a Data Science Intern at Fresenius Medical Care, where he is gaining hands-on experience in data science and analytics. Prior to this, Austin has worked as a Full-stack Developer at Ferdinandsteinbeisinstitut, where he gained experience in developing end-to-end solutions for web applications. He has also worked as a Research Project Assistant at the University of Stuttgart, where he was responsible for deploying Brain Inspired Computing models such as online HD and deep learning models for image classification on an embedded device. He was also responsible for data collection of performance indicators on Raspberry Pi during training and testing, and analysis and visualization of data to present a detailed report on comparison study. Austin holds a Master of Science degree in Information Technology from the University of Stuttgart, which he is expected to complete in December 2022. He also holds a Diploma in Java from Manipal Institute Of Computer Education, and a Bachelor of Engineering degree in Electrical, Electronics and Communications Engineering from NMAM Institute of Technology. Austin has a strong technical background and is proficient in Data Science, Deep Learning, Machine Learning, and Research Science. He is also skilled in test automation and has experience in working with various tech stacks. With 0.35 years of relevant experience, Austin is an ambitious individual who is passionate about exploring new technologies and finding innovative solutions to complex problems.