About

Adhesh Garg is a highly motivated and skilled Software Development Engineer with a strong background in Computer Science, Artificial Intelligence, and Machine Learning. He is currently pursuing his Master's degree in Computer Science and Engineering from the University at Buffalo (SUNY), where he has focused his academic coursework on AI and ML. Adhesh has a keen interest in the vast amount of data available in today's world and how machine learning models can interpret this data to provide insights that help make better-informed decisions. He has 1.53 years of relevant experience in the software development industry, working with cutting-edge technologies such as AWS, Computer Vision, Deep Learning, Search, and MongoDB. Adhesh has worked as a Software Engineer at Engati, where he played a crucial role in improving the user search functionality and onboarding functionality of the product. He also helped in reviewing merge requests to maintain repositories and worked with Spring Boot, Flask, Kafka, React, Solr, Mongo, and Angular. As an intern at Engati, Adhesh worked as a Full-Stack intern and created a new module for the product. He worked with Spring Boot, Flask, Kafka, Solr, Mongo, React, and Angular. Adhesh is currently working as a Software Development Engineer at Amazon, where he is responsible for developing and maintaining software applications that support the AWS platform. He is highly skilled in Spring Boot, Spring, Flask, AngularJS, Kafka, and ML. Adhesh's technical expertise, coupled with his passion for AI and ML, makes him a valuable asset to any organization. He is a quick learner, a team player, and always strives for excellence.