Grayson Adkins
Applied AI Scientist at Gusto
Nashville-Davidson, Tennessee, United States
Summary
👤
Senior🎓
Top SchoolGrayson Adkins is an Applied AI Scientist with a decade of experience building production-grade generative AI, agentic systems, and MLOps for startups and enterprise customers. He combines founder-level product instincts from co-founding Uffizzi with hands-on engineering—designing RAG pipelines, tool-calling agents, and end-to-end LLMOps that scaled to hundreds of concurrent requests. At Gusto he focuses on customer-facing AI assistants and workflow automation, having previously driven measurable business outcomes like 98% reduction in manual hours and 30% profit uplift for clients. His background spans academic research in semi-supervised vision models to deploying fine-tuned Llama variants and vLLM-based inference on multi-GPU clusters. Notably, he has repeatedly turned prototypes into revenue-driving products (MVP in 6 months, ephemeral cloud environments, and advanced RAG across 10k+ docs), blending UX, DevOps, and model engineering. Based in Nashville, he pairs deep technical breadth with a pragmatic, product-first approach to bring AI from prototype to production.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.E.) Mechanical Engineering, Bachelor of Engineering (B.E.) Mechanical Engineering at Vanderbilt UniversityMaster of Science - MS Computer Science, Master of Science - MS Computer Science at San Diego State University
Github Skills (152)
identity10
command-line-interface10
authentication10
sms10
ruby10
infrastructure10
dx10
microservices10
auth10
jwt10
rbac10
inbox10
openid-connect10
typescript10
rails10
Programming languages (14)
Github contributions (5)
UffizziCloud/docs
Nov 2021 - Feb 2023
Technical documentation that just works
Contributions:270 commits, 1 push in 1 year 2 months
technical-documentationidrisdocumentation-site
gadkins/hopnet
Sep 2016 - Jan 2017
Contributions:62 commits, 61 pushes, 1 branch in 3 months
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