
David User
@daviduser87
AI engineer at Microsoft who improved multi-turn agent accuracy by 30% with LangChain and LangGraph orchestration.
What I'm looking for
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
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%.
Developed NLP models and pipelines for fraud detection and risk assessment in financial services. Deployed machine learning microservices on cloud platforms improving transaction monitoring throughput by 35%.
Built backend services supporting data ingestion and AI model integration for fintech applications. Improved system scalability and reliability through microservices architecture.
Software Developer
Sheridan Healthcare
Jan 2013 - Jan 2014 (1 year)
Developed healthcare software modules focusing on data accuracy and security. Collaborated with cross-functional teams to meet regulatory compliance requirements.
Education
Degrees, certifications, and relevant coursework
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
Bachelor of Science, Computer Science
2009 - 2013
Bachelor of Computer Science from Guru Nanak Dev University, completed in 2013.
Availability
Location
Authorized to work in
Salary expectations
Social media
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