About

Milind Choudhary is a highly motivated and skilled Masters student in Computer Science and Engineering at the University of Texas at Dallas. With a focus on Kubernetes and core OS, Milind has a strong foundation in the application of Deep Learning and machine learning algorithms to end-to-end applications. Milind has a diverse range of experience, having previously worked as an Associate Software Engineer at Veritas, where he deployed the first version of InfoScale in a container format using Kubernetes. He also improved the UI on Openshift Console and augmented the functionality of existing versions of InfoScale by adding disk-group information feature using the concepts of Operating Systems and Computer Networks. Milind also developed a debugging tool for Erasure Coded volumes and integrated it with InfoScale for data protection. Milind has also worked as a Summer Intern at Seqome, where he was part of a team working to create auto neural network builders for users. The aim was to minimize the effort for creation of a neural network, feature selection in the neural network, and training&testing it. With the help of simple prompts, a neural network can be created in either manual or auto mode. Feature Selection with help of Perturbation Ranking and ranking according to weights along with correlation and pairplot is given special importance. The datasets on which such scripts are being tested are diabetes prediction and gene expression dataset for cancer classification. Milind has a Bachelor of Technology degree in Computer Science from NIT Rourkela and has completed high school from D.A.V. Public School, Chandrasekharpur. He is currently pursuing a Master of Science in Computer Science at the University of Texas, which he is expected to complete in December 2024. With a strong technical background in Kubernetes, Deep Learning, ML, Neural Networks, Software Engineering, UI, and testing, Milind has relevant experience of 0.43 years. He is a quick learner, a team player, and has excellent communication skills. With his experience and skills, Milind is well-equipped to take on challenges in the field of Computer Science and Engineering.