Summary
Sriram Veturi is a Senior Data Scientist with eight years of experience building production-grade NLP and Conversational AI systems across enterprises like Microsoft, The Home Depot, Grainger, and Uptake. He specializes in transformer-based models, RAG-style generative systems, and scalable ML pipelines on GCP and BigQuery, with hands-on expertise in deployment tools such as Flask/FastAPI, StreamLit, Airflow, and PySpark. At Home Depot he led Agent Assist and summarization projects that cut agent handle time and now has a deployed response-predictor used by over 1,000 contact-center agents, plus co-authored research submitted to NAACL. Comfortable across the full ML lifecycle, he blends rigorous evaluation of hallucination and accuracy with pragmatic engineering—automating retraining, monitoring, and low-latency endpoints for search and QA. Beyond work, he pursues Kaggle challenges and deep dives into the math behind models, reflecting a continual drive to translate research advances into measurable business impact.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Illinois Chicago
Bachelor of Engineering - BE Information Technology, Bachelor of Engineering - BE Information Technology at University of Mumbai
English, Hindi