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Bryant User

@bryantuser1

Full Stack Engineer building scalable, LLM-powered AI applications.

United States
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What I'm looking for

I seek a role building production AI/LLM systems with strong engineering practices, IaC, CI/CD, and cross-functional collaboration that drives measurable impact and growth.

I am a Full Stack Engineer focused on building AI-powered and LLM-based applications that scale in production. I design resilient backends, implement RAG models, and optimize high-volume document processing and real-time systems to deliver measurable efficiency gains.

At GEICO I delivered an LLM-driven system that streamlined wage-loss workflows for over 2,000 adjusters, cut Azure OpenAI token consumption by 54%, and built a pipeline processing 80,000+ PDFs; previously I contributed scalable services at AWS and research-grade ML systems at the University of Houston.

I prioritize CI/CD, Infrastructure as Code, and observability to ensure system reliability, and I enjoy collaborating across frontend, mobile, and backend teams to ship integrated solutions that improve user outcomes and operational metrics.

Experience

Work history, roles, and key accomplishments

GE
Current

Software Engineer

Geico

Jul 2024 - Present (1 year 4 months)

Built LLM-driven systems that streamlined wage loss workflows for 2,000+ claims adjusters, reduced Azure OpenAI GPT-4o token consumption by 54%, and improved document processing efficiency by 32% via a chunking algorithm.

Education

Degrees, certifications, and relevant coursework

University of Houston logoUH

University of Houston

Bachelor of Science, Computer Science

Activities and societies: Research Assistant (08/2023–05/2024), Teaching Assistant (09/2022–05/2023); coursework and projects in AI, ML, mobile development, and large-language-model systems.

Completed a Bachelor of Science in Computer Science with a minor in Mathematics, focusing on software engineering and AI-related projects.

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