Summary
Surya Krishnamurthy is a Senior Data Scientist with nine years of hands-on experience building production ML and GenAI systems across finance, healthcare, and retail. He has led end-to-end projects—from AutoML and model interpretation toolkits to large-scale RAG and agentic AI deployments—delivering measurable gains like improved recall, storage reduction, and increased ingestion capacity. At CVS he pioneered the company’s first standardized RAG evaluation framework and architected a multi-platform AI ecosystem integrating Databricks, Slack, and cloud services. His background spans research and applied work, including supply-chain geospatial analysis, CKD risk modeling with a 95.7 AUROC, and time-series forecasting for hundreds of stores. Comfortable in cloud-native environments (Azure, GCP, AKS, Vertex AI) and vector/LLM tooling, he combines curiosity-driven research with pragmatic engineering and operational monitoring. Based in Jersey City, he is an active learner who contributes to open-source ML projects and seeks niches where novel evaluation and tooling move models into reliable production.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Technology Information Technology, Bachelor of Technology Information Technology at Vellore Institute of Technology
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Northeastern University
English, Tamil