Abhishek Saini
About Abhishek Saini
Abhishek Saini is a Senior System Engineer at STL - Sterlite Technologies Limited, with over eight years of experience in technology and a specialization in Machine Learning and AI. He holds a Master of Science in Intelligent Systems from Bielefeld University and has worked in various engineering roles across India and Germany.
Work at Sterlite Technologies Limited
Abhishek Saini has been employed at Sterlite Technologies Limited (STL) as a Senior System Engineer since 2021. His role involves overseeing various engineering tasks and contributing to the development of technology solutions. STL is known for its work in digital networks, and Saini's expertise in machine learning and AI supports the company's objectives in enhancing network performance and efficiency.
Previous Experience in Software Development
Before joining STL, Abhishek Saini worked as a Software Development Working Student at margin from 2017 to 2021. During this four-year period in the Bielefeld Area, Germany, he gained practical experience in software development, contributing to various projects that enhanced his technical skills and understanding of real-world applications.
Educational Background in Intelligent Systems
Abhishek Saini earned his Master of Science (MS) in Intelligent Systems from Bielefeld University, where he studied from 2016 to 2020. This program equipped him with specialized knowledge in machine learning and artificial intelligence, which he applies in his current role at STL. His academic background laid a strong foundation for his career in technology.
Experience in System Engineering
Prior to his current position, Saini worked as a System Engineer at Elitecore Technologies Pvt Ltd from 2014 to 2016. He also served as a Network Operations Engineer at Spectra from 2011 to 2014. These roles contributed to his extensive experience in system engineering and network operations, further developing his technical capabilities.
Certifications and Technical Skills
Abhishek Saini holds a Certified Kubernetes Administrator (CKA) certification, demonstrating his proficiency in managing Kubernetes environments. He specializes in machine learning and AI, and possesses over eight years of experience in interdisciplinary tasks, including VNF/CNF, MLOps, and data science and analytics.