At Cigna Healthcare Group, I engineer Python data pipelines that reduced data latency by 80%. I also applied large language models, generative AI, retrieval systems, and agents to workflows that improved contextual retrieval accuracy by 30%.
I develop backend APIs that expose AI-enabled services and deploy containerized AI services on AWS using Kubernetes. At Cigna Healthcare Group, I maintain 99.9% uptime while working with clients and cross-functional teams to turn business challenges into AI-powered solutions.
Previously, at Mphasis, I engineered Python backend services and REST APIs, optimized data pipelines to reduce processing latency by 58%, and helped integrate machine learning pipelines with generative AI components. I hold a Master’s in Computer Science from Illinois Institute of Technology and certifications in AWS and Microsoft AI.
