Granica
Anand currently serves as a Senior DevOps Engineer at Granica, following a tenure as Engineering Manager at Airmeet, where significant achievements include reducing costs by 25% across vendors and optimizing application performance for up to 100k+ concurrent event attendees. Prior experience includes roles as Lead Site Reliability Engineer and Site Reliability Engineer, where Anand implemented scalable infrastructures and streamlined processes with Infrastructure as Code. Earlier positions at CGI as a Software Engineer and Associate Software Engineer involved designing automated CI/CD pipelines and developing microservices and AI-driven applications. Anand holds a Bachelor of Technology in Chemical Engineering from the National Institute of Technology Agartala and an Advanced Certification in Artificial Intelligence and Machine Learning from IIIT Hyderabad, along with various volunteer and internship experiences.
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Granica
Granica is an AI research and systems company helping enterprises leverage AI efficiently and safely. Our mission is to make AI 10,000x better. We believe data is the first-mile problem to solve in this mission. Our first system is a novel training data platform for enterprise AI that unlocks efficiency and privacy through our flagship services tailored for Generative and Traditional AI: Granica Crunch is a family of advanced data compression/reduction models which enable AI/ML teams to add and use more data to improve their ML accuracy and performance while controlling their infrastructure costs. Crunch delivers deep cost efficiencies for data at any scale, at rest and in use. Granica Screen is an advanced data privacy-enhancing service that unlocks even more data for AI/ML teams to safely improve model performance. It guarantees state-of-the-art privacy at scale, enabling Private LLMs and Privacy-preserving AI. Granica Chronicle is a deep data visibility service for disparate AI data stores. Enabling unification, collaboration and insights into data usage for AI and ML. Our research is deeply rooted in information science, machine intelligence, computer vision, natural language, and distributed systems, with a special emphasis on elevating the efficiency and safety of AI systems through fundamental and innovative research. We're backed by remarkable institutional investors in AI, Data, and Cloud; and several industry luminaries in business and technology.