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David UserDU
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David User

@daviduser87

AI engineer at Microsoft who improved multi-turn agent accuracy by 30% with LangChain and LangGraph orchestration.

United States
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What I'm looking for

I’m looking to deliver AI solutions that empower compliance teams and reduce manual workflows, with end-to-end ownership from concept through production.

At Microsoft, I designed and implemented LLM orchestration pipelines with LangChain and LangGraph, improving multi-turn agent accuracy by 30%. I also integrated OpenAI and Claude into autonomous compliance workflows, enhancing fraud detection precision by 25%.

Previously, I developed fraud detection and risk assessment models at Wells Fargo, where I worked with compliance teams on KYC/AML workflows. My earlier work included building fintech data-ingestion services at Jack Henry and healthcare software modules at Sheridan Healthcare.

Experience

Work history, roles, and key accomplishments

Microsoft logoMI

Senior AI Engineer - LLM Systems

Jan 2019 - Jan 2026 (7 years)

Designed and implemented scalable LLM orchestration pipelines using LangChain and LangGraph, improving multi-turn agent accuracy by 30%. Developed production microservices in Java and Dropwizard deployed on AWS with Docker and Kubernetes, reducing deployment time by 40%.

Education

Degrees, certifications, and relevant coursework

The University of Texas at Dallas logoTD

The University of Texas at Dallas

Master of Science, Information Technology

2018 - 2019

Master of Science in Information Technology from The University of Texas at Dallas, completed in 2019.

Guru Nanak Dev University logoGU

Guru Nanak Dev University

Bachelor of Science, Computer Science

2009 - 2013

Bachelor of Computer Science from Guru Nanak Dev University, completed in 2013.

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