Swapna Anugu is an accomplished AI Cloud Data Solutions Architect with over 18 years of experience in designing and implementing innovative data solutions. As an AI-Driven Cloud Data Lead at Manasi Information Technologies, she specializes in integrating cutting-edge AI technologies with cloud platforms to deliver transformative business outcomes.
With a diverse technical background spanning data engineering, machine learning, and database administration, Swapna excels at architecting scalable data platforms using Azure, AWS, Databricks, and Snowflake. Her expertise in implementing OpenAI GPT models for real-time text summarization and intelligent document processing has significantly enhanced operational efficiency for major financial institutions.
At Mizuho Bank, Swapna architected a secure, scalable data platform that integrated Azure services with LLM workflows, reducing processing errors by 90% and cutting end-to-end processing time by 63%. Her implementation of robust data governance frameworks using Unity Catalog and advanced encryption protocols reduced security incidents by 87%.
Previously at Bank of America, Swapna led AI/ML and data management initiatives, implementing multi-layered matching frameworks and optimizing predictive models that improved accuracy by 40%. During her tenure at Accenture, she spearheaded Master Data Management solutions that reduced duplicate records by 90% and improved operational reliability.
Swapna holds a Master of Computer Applications from Osmania University, along with multiple prestigious certifications including Microsoft Certified Azure Data Engineer Associate, AWS Certified Solutions Architect, and AWS Certified Machine Learning Specialty. She was awarded a Gold Medal for her academic excellence and received the "Accenture Excellence" Award for her outstanding contributions and automation initiatives.
A passionate problem-solver and continuous learner, Swapna remains at the forefront of cloud and AI advancements, consistently delivering solutions that drive measurable business value through increased efficiency, enhanced data accuracy, and strategic innovation.