Summary
Adarsh Kumar is an AI Engineer with 8 years of hands-on experience building production-scale Generative AI, LLMs, and agentic systems, currently driving autonomous workflows at Optum that integrate Salesforce, retrieval architectures, and enterprise data. He holds an MS in Data Science from Texas A&M, where his research targeted LLM reliability and evaluation using RAG, chain-of-thought, and self-consistency in distributed environments. His track record spans the full ML lifecycle—research, large-scale ETL, model engineering, and cloud-native MLOps on Azure, Snowflake, PyTorch, and Spark—having shipped recommender improvements, NLP pipelines, and RAG-powered chatbots that cut manual work by up to 95%. Notably, he has scaled data pipelines ingesting millions of Salesforce records weekly and redesigned portals to boost user engagement by 45%, reflecting a blend of product sensibility and engineering rigor. Passionate about taking AI from 0-to-1 and 1-to-100, he seeks roles solving complex, high-impact problems at enterprise scale.
8 years of coding experience