Connor Moss
AI Engineer at Landair Advisors
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolConnor Moss is an AI engineer based in New York with eight years of experience building production ML systems that remove tedious manual work for teams. He has delivered end-to-end solutions—from C#/.NET high-volume regulatory pipelines and Azure deployments to Hugging Face and LangChain-driven AI tools—often owning API, data, and integration layers. At Landair Advisors he launched a call intelligence system that automates advisor note-taking by combining transcription, structured insight extraction, and CRM sync, and at Trail Dog Software he contributed to 40+ compliance-focused releases that improved reliability and reduced technical debt. His background in statistics and computer science informs pragmatic model evaluation (including an 84% margin predictor) and robust preprocessing for large datasets. Colleagues know him for turning research prototypes into maintainable production services and for building developer tooling that speeds onboarding and reduces operational friction.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree Statistics and Computer Science, Bachelor's degree Statistics and Computer Science at Kenyon College
Github Skills (10)
bit6
csharp3
dotnet3
validation2
redoc1
schema1
swagger1
schema-validation1
validations1
openapi1
Programming languages (1)
Github contributions (2)
ABotelho23/aacdnProject
Nov 2017 - Mar 2018
Contributions:46 commits, 6 PRs, 51 pushes in 4 months
dotnetseniorsenior-projectcsharpbit
pipermerriam/flex
Oct 2019 - Oct 2019
Swagger schema validator
Contributions:1 comment in 1 day
redocschema-validatorvalidationvalidationsschema-validation
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