Lior Leiba
About Lior Leiba
Lior Leiba serves as the VP of R&D and Engineering at Augury, where he leads a multi-disciplinary team focused on innovations in IoT, AI, and SaaS. He has extensive experience in software development and engineering, with a strong background in data mining, machine learning, and cloud computing.
Work at Augury
Lior Leiba serves as the Vice President of Research and Development / Engineering at Augury since 2018. In this role, he leads a multi-disciplinary team that focuses on innovations in Internet of Things (IoT), Artificial Intelligence (AI), and Software as a Service (SaaS). His leadership emphasizes the integration of advanced technologies to enhance product offerings and drive company growth.
Education and Expertise
Lior Leiba studied at the Technion - Israel Institute of Technology, where he earned a Bachelor of Science in Computer Science and Information Systems Engineering from 1991 to 1995. He later completed a Master’s degree in Computer Science from 1997 to 2000 and an MBA from 2003 to 2004. He possesses hands-on programming experience in J2EE/Java and is proficient in multiple programming languages, including C#/.Net, Perl, PHP, PL/SQL, JavaScript, and C++. His expertise extends to integrating high-scale systems with cloud computing and SaaS solutions.
Professional Background
Lior Leiba has held various significant positions throughout his career. He worked at Intel as an Information Systems Manager from 1992 to 2000 and later at SAP as an R&D Manager in multiple roles from 2005 to 2010. He also served as the SW Development Director at Shopping.com from 2002 to 2005 and as VP R&D at Kampyle and FixYa in 2010 and 2011, respectively. His tenure at IBM as Research Group Manager for Social and Collaboration Technologies lasted from 2015 to 2018.
Achievements in Software Development
Lior Leiba has a strong background in software development methodologies, utilizing agile practices such as SCRUM and Kanban to manage software development processes. He has experience in architecting and implementing big-data solutions using technologies like Hadoop, HBase, MongoDB, and Spark. His expertise also includes data mining, machine learning, information retrieval, and network analytics, contributing to his effectiveness in leading innovative projects.