Summary
Dhairya Chandra is an AI engineer with 9 years of experience building cloud-native infrastructure and agentic systems that let AI agents communicate, share context, and execute complex workflows. He combines deep LLM and NLP expertise with hands-on backend and full-stack development across Python, .NET, and JavaScript, deploying scalable solutions on AWS, GCP, and Azure. Recently focused on A2A orchestration, MCP integrations, and LangGraph-driven reasoning loops, he designs multi-agent pipelines that reduce manual overhead in real-time data platforms. His background includes productionizing NLP classifiers, churn prediction models, IoT/ML pipelines, and automation of ETL workflows—work that has improved time-to-insight and cut operational costs. Based in Overland Park and eligible to work in the U.S., he blends research experience from NSF and academia with product-led delivery in security and hospitality domains. An often-overlooked strength is his habit of pairing rigorous automated testing with pragmatic engineering to keep complex AI systems reliable in production.
9 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 Missouri-Kansas City
Bachelor of Technology - BTech, Computer Science and Engineering specialization in Cloud Computing, Bachelor of Technology - BTech, Computer Science and Engineering specialization in Cloud Computing at Graphic Era Deemed to be University
English, Hindi, Punjabi