Egemen Guray

Egemen Guray is a Software Engineer and Mathematician known for expertise in Deep Learning, Transformers, Distributed Systems, Large Scale System Architecture, and Databases. Currently, he is focused on enhancing the scalability and availability of Aurora at Amazon Web Services.

With a rich professional background, Egemen has successfully Co-Founded and led two startups, taking them from pre-seed stages to Series B funding. His entrepreneurial journey revolved around transforming the realms of cooking, grocery shopping, dine-in experiences, and restaurant management.

Having worked for esteemed companies like Microsoft, Deloitte, Blackberry, Ford Motor Company, Egemen has contributed significantly to various domains including cloud systems, autonomous driving, security systems, and consulted for banks, governments, and energy facilities in North America. His expertise spans Big Data, System Infrastructure, Data Governance, Cloud Platforms, Distributed Systems, Machine Learning, and Mathematical Optimization Methods.

Egemen Guray holds an impressive educational background with degrees from University of Waterloo and Stanford University, majoring in areas like Computer Science, Statistics, Computational Mathematics, and Management Science & Engineering. His early education at Robert College focused on AP Science, AP Math, and Liberal Arts.

Throughout his career, Egemen has held pivotal roles such as Software Development Engineer at Amazon Web Services (AWS), CTO at Garson, and AI Strategy Consultant at Deloitte, showcasing his versatility across different sectors and technologies.

Passionate about growth, impact, and overcoming challenges, Egemen Guray is eager to explore new opportunities that enable him to drive value and innovation across various domains.