About

Arpit Vora is an experienced software engineer with a strong background in machine learning and deep learning. He currently works as a Member of Technical Staff at VMware, where he specializes in R&D and machine learning. Arpit is skilled in a variety of programming languages including Java, Python, and R, as well as Docker and SQL. He is also experienced in agile methodologies. Arpit has a Master's Degree in Computer Science from the Rochester Institute of Technology, where he focused his research on deep learning. During his time at the university, he worked as a Graduate Research Assistant, where he built a deep neural network integrated with an Android application to find patterns in system and user CPU usage. He also performed initial pre-processing of data, trained a recurrent neural network and feedforward neural network using Keras and Tensorflow frameworks in Python, and compared the results for different combinations of datasets. Arpit also performed hyperparameters tuning to tune the model for better performance and validated the model using K-Fold validation approach. He plotted the recorded patterns for attack and no-attack and compared it with the model's prediction. Finally, he integrated the model with the Android application and deployed it on different Android devices to monitor the performance of the model and check the number of malicious activities prevented by the model. Arpit has 4.94 years of relevant experience and has also worked as a Performance Engineer Intern at VMware, where he was responsible for R&D and machine learning. He has a strong background in research and has worked as a research scientist in the past. His tech stack includes software engineering, machine learning, SQL, deep learning, AI, NLP, Docker, Python, Java, neural networks, Keras, Tensorflow, and Android. Arpit is a skilled professional with a demonstrated history of working in the global industry.