About
Sai Prasad Veluru is an accomplished Software Engineer with extensive experience in designing and developing large-scale, data-driven applications. He has been with Apple since 2018, where he contributes to Apple Maps, specifically focusing on ingest services for spectrum, neutron-ingest-service, and ngp-gateway. He led a key project that improved end-to-end publishing time by 80% using Kafka streaming and batch processing. Sai also implemented a check engine for spectrum, reducing false publish tickets by 90% and significantly enhancing RAP processing times. His recent work involves integrating LLM-based copilot for Apple’s NGP team, automating incident management and reducing incidents by 80%. His expertise spans Scala, Java, Golang, React, Cassandra, Kafka, Kubernetes, and AWS. Before Apple, Sai worked as a Software Engineer at Visa (2015–2016), contributing to the design and development of the Opera monitoring and analytics platform for Visa’s payment product pipelines. His role involved writing Java-based services for backend integrations and log parsing for analytics. At Yatra, Sai developed modules for hotel inventory management and REST APIs, as well as integrated flight-hotel booking features. His work involved a broad tech stack, including Java, Akka, Spring, and AngularJS. Earlier in his career at Comviva, Sai led the development of Omega, a reporting and analytics platform for mobile financial services. He also designed and built CRM dashboards for Zerch, a local e-commerce platform. Sai holds a Master of Science from the State University of New York, Buffalo, with a focus on machine learning, distributed systems, and algorithms. He earned his Bachelor of Technology from IIT Hyderabad, majoring in Electrical Engineering. His technical skills cover Java, Scala, Golang, Python, and a wide range of frameworks, databases, and cloud infrastructure services. Sai’s notable achievements include winning multiple hackathons and being ranked in the 99.99th percentile in IIT JEE and AIEEE among a million candidates.
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Scholar9 Profile ID
S9-022025-1309633
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