About

Apurv Jain is a highly skilled Software Engineer with a focus on full-stack development. He is currently working as a Consultant at mtx group, where he is responsible for implementing deep neural networks using Keras API for binary classification of QCD Jet image data using low-level data. Apurv has a strong background in Python and has worked on a Binary Classification problem for separating background data and signal data obtained from simulations of the collider. Apurv has a Bachelor's degree in Computer Science from the LNM Institute of Information Technology. During his time at lnmiit, he gained experience in various programming languages and technologies, including Keras, Javascript, Neural Networks, Typescript, AngularJS, and NodeJS. He also has experience in Mobile and Frontend development, as well as ML and MySQL. Before joining mtx group, Apurv worked as an Intern at Physical Research Laboratory, where he gained experience in implementing deep neural networks using Keras API for binary classification of QCD Jet image data using low-level data. He also worked on a Binary Classification problem for separating background data and signal data obtained from simulations of the collider. Apurv is a highly motivated and dedicated individual with a passion for software development. He has excellent communication and teamwork skills, as demonstrated by his role as a Student Coordinator at Placement Cell, lnmiit, where he was responsible for leading a team of 40 members in 3 teams and efficiently managing all campus placement drives. Apurv also coordinated in Placement & Training Programme for the students of the batch of 2019 consisting of 450 students. Overall, Apurv has 2.86 years of relevant experience in software engineering, with a strong focus on full-stack development and deep neural networks. He is a valuable asset to any team and is always looking to expand his knowledge and skills in the field.