His leadership was instrumental in developing Meta’s anti-scraping data platform, which processes over 12 petabytes of data daily, setting industry benchmarks for data security and resource optimization.

Formerly, he led significant projects at Volkswagen’s Automotive Cloud and at Microsoft, where he architected Azure’s intelligence platform handling 16 terabytes of data daily. His innovative approaches have empowered companies like Ferrari, British Airways, and PepsiCo to enhance their data-driven decision-making processes. His expertise extends into AI, having developed several AI-driven products that enhance operational efficiency and customer engagement.

An esteemed speaker and a thought leader, he has shared his insights on leveraging AI in data management at numerous conferences and webinars. He is also a mentor, guiding future talents in big data and AI technologies. His scholarly contributions are notable, with several published articles in peer-reviewed journals on topics like AI-powered self-healing systems, ensuring cloud compliance through machine learning, and AI-driven analytics for real-time decision-making. These publications underscore his deep commitment to advancing technological innovation and academic discourse.

Currently, as a Software Engineering Lead at Meta Platforms, he continues to drive technological innovation, making significant contributions to the field of data science and engineering, aiming for a transformative impact on a global scale. His work not only advances his field but also serves as a beacon for future generations of engineers and data scientists.