About

Aditya Garg is a highly skilled Software Engineer with a keen interest in Algorithms and Data Structures. He is currently working as an SDE at UiPath, where he is part of the AI Center Team (formerly AI Fabric). Aditya has a passion for Big Data and has worked on various technologies like Hadoop, Hive, GCP, AWS, and Azure. Aditya has a Bachelor of Technology degree in Computer Science from Maharaja Surajmal Institute of Technology. He has also completed his schooling from St. John's Academy and Little Flower Senior Secondary Public School. Aditya has relevant experience of 3.19 years and has worked as an Engineering Intern at Qubole, where he got the opportunity to work on a project to provide Prometheus monitoring support for the Hive Team. He was responsible for creating and sending metrics from Hive JVMs to Prometheus, creating alerts, integrating them with external sources like Slack, Gmail, etc., and creating custom dashboards. Aditya has also worked as a Problem Setter at HackerEarth, where he created problems for their rated contests. He has a diverse TechStack that includes Python, Java, SQL, Kubernetes, Javascript, Spring Boot, Spring, AWS, Apache Hive, Hadoop, GCP, MySQL, Microservices, DevOps, SVM, New Relic, OpenCV, Image Processing, Scikit, CI/CD, RabbitMQ, Docker, MongoDB, Integration, Web, and Infra. Aditya is an ACM-ICPC regionalist for the year 2018 and 2019 and loves getting a good score. He is a Big Data enthusiast and is always keen to learn about new technologies and tools. With his vast experience and expertise in the field of Software Engineering, Aditya is a valuable asset to any organization that he is associated with.