Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Nikolaos Gaitanis is a distinguished Research Scientist at Meta AI, specializing in large-scale AI systems, particularly in the domain of recommendation models and machine learning infrastructure. He earned his Ph.D. in Computer Science from the University of Texas at Austin, where his research laid groundwork for high-performance computing and systems for machine learning. At Meta, Nikolaos focuses on developing and optimizing cutting-edge AI models and the underlying systems that power various products and services, impacting billions of users. His work often involves tackling challenges in scalability, efficiency, and reliability of AI applications at an unprecedented scale. He is known for his contributions to open-source projects and for publishing his research in top-tier conferences, bridging the gap between academic research and industrial application.
Nikolaos Gaitanis's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Significantly contributed to the research, development, and open-sourcing of Deep Learning Recommendation Models, which have become a benchmark in the industry for building personalized recommendation systems.
Instrumental in designing and implementing highly scalable and efficient AI/ML systems and infrastructure at Meta, enabling the training and deployment of some of the world's largest AI models.
Completed his doctoral studies with a focus on high-performance computing and systems, producing research that has informed his subsequent work on large-scale machine learning systems.
Authored and co-authored numerous influential papers presented at top-tier academic conferences like MLSys, SC (Supercomputing), and others, contributing valuable insights to the AI and systems research communities.
Deree - Year 1998
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Glia is a leading provider of Digital Customer Service (DCS) solutions. Their platform empowers businesses to engage with customers seamlessly across digital channels including chat, voice, video, and CoBrowsing, all within the company's own website or mobile app. Glia aims to transform customer interactions from transactional and fragmented to personalized and continuous, improving customer satisfaction, increasing conversions, and boosting operational efficiency for financial institutions, insurance companies, and other enterprises.
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