Vinod Krishnan
Senior Engineer, Workday
San Ramon, California, United States
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Vinod is a seasoned software engineer with a proven experience in developing scalable distributed systems for both on-premise and cloud native environments. He has demonstrated expertise in software engineering with a strong track record of optimizing compute, memory, and storage efficiency throughout his career. He has a deep expertise in architecting and leading software development projects as a staff engineer at Workday. With expertise in distributed systems, microservices, and virtualization technologies like Kubernetes and Docker, Vinod is recognized as a thought leader in the tech industry. Throughout his career, Vinod was instrumental in developing highly scalable and distributed cloud solutions. His expertise in object-oriented design and systems programming, combined with his ability to scale infrastructures for handling concurrent requests and planet-scale storage, establishes him as a true leader in his field.
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0° Means Besties, 90° Means Strangers: The Math Behind Cosine Similarity
Cosine Similarity is like the social network of vectors—it measures how close two points are based on the angle between them. A 0° angle? Total BFFs, perfectly aligned. A 90° angle? Complete strangers, no common ground. It’s the secret sauce behind recommendations, NLP, and clustering, helping machines figure out who’s vibing and who’s not. Math has never been so… social.
Leveraging Microservices Design for Scalable Architecture
In today’s rapidly evolving tech landscape, building scalable, resilient, and maintainable systems is crucial for meeting the demands of growing user bases and complex applications. Microservices architecture, which breaks down large applications into smaller, independent services, has become a popular approach to achieve these goals. However, designing and implementing micro services requires a solid understanding of proven design patterns that can enhance scalability, improve system resilience, and streamline maintenance.
We will explore key design patterns and best practices that can help organizations build robust, efficient, and scalable microservices-based architectures.
Attendees will gain by adopting these strategies, businesses can ensure their systems are not only flexible and adaptable but also prepared to handle increasing traffic and complexity as they grow.
Vector Databases to the Rescue: Because Regular Databases Just Don’t Get Your Neighbor's Data
When traditional databases struggle to find your data's closest friends, vector databases swoop in like superheroes. Designed for high-dimensional data, they make nearest neighbor searches fast and efficient. Whether it's powering recommendation engines or AI models, vector databases know exactly who your data should hang out with. So, when your regular DB shrugs in confusion, vector databases come to the rescue—cape and all!
CloudX 2025 Sessionize Event
SLC Sql Saturday 2025 Sessionize Event
Vinod Krishnan
Senior Engineer, Workday
San Ramon, California, United States
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