Gergely Szlobodnyik, PhD
About Gergely Szlobodnyik, PhD
Gergely Szlobodnyik, PhD, is a Senior Software and Data Architect at ArisGlobal, where he oversees the daily activities of 13 engineers and 2 scrum teams. He has a strong academic background with multiple degrees in Computer Science, Finance, and Molecular Bionics Engineering, and has previously held positions at notable companies such as Nokia Bell Labs and Citi.
Work at ArisGlobal
Gergely Szlobodnyik serves as a Senior Software and Data Architect at ArisGlobal, a position he has held since 2022. In this role, he orchestrates the daily activities of 13 engineers and manages two scrum teams. He utilizes core AWS technologies, including ECS, Fargate, CloudMap, and Lambda, to enhance software architecture. His responsibilities also include managing security and identity access management through Azure Active Directory and Auth0. Szlobodnyik has designed and implemented an AWS-based, multi-tenanted SaaS architecture, demonstrating his expertise in cloud solutions.
Education and Expertise
Gergely Szlobodnyik holds multiple degrees in various fields. He earned a Doctor of Philosophy (PhD) in operation research and machine learning from Pázmány Péter Katolikus Egyetem. He also holds a Master's degree in Finance from Central European University and two Bachelor's degrees in Computer Science and Molecular Bionics Engineering from Pázmány Péter Katolikus Egyetem. His educational background supports his expertise in software architecture, data management, and machine learning.
Previous Work Experience
Prior to his current role at ArisGlobal, Gergely Szlobodnyik gained significant experience in various positions. He worked as a Machine Learning Engineer and Researcher at Nokia Bell Labs from 2019 to 2021. He also served as a Market Quantitative Analyst at Citi for three months in 2016. Additionally, he held the position of CTO Cloud Architecture at TraceRiser from 2020 to 2022 and worked as a Data and AI Solution Architect at ZF Group from 2021 to 2022. His experience spans multiple industries, focusing on software development and data architecture.
Technical Skills and Tools
Gergely Szlobodnyik employs a variety of technical tools and platforms in his work. He utilizes Snowflake, DataFabric, and Spotfire for data management and analytics. His experience with AWS technologies allows him to design scalable cloud solutions. Furthermore, he has integrated Generative AI and large language models (LLM) into commercial products, showcasing his ability to leverage advanced technologies for practical applications.