Christopher Fraher
Senior AI Engineer at Realtor.com
Austin, Texas, United States
Summary
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Top SchoolChristopher Fraher is a Senior AI Engineer based in Austin with 13+ years of software experience and a Master's in Computer Science focused on machine learning. He blends deep .NET and distributed-systems expertise with hands-on generative AI and agent design, having built production AI phone agents, multimodal VIN extraction, and RAG-based GenAI platforms. As founder of Fraher.AI and an operator at Precedent and Realtor.com, he moves quickly from prototyping to production, often integrating Azure, ElevenLabs, and OpenAI realtime tooling. He has a track record of improving operational outcomes (e.g., 70% successful call outcomes) and automating complex document and deployment workflows. Comfortable leading interdisciplinary teams, he also runs workshops to demystify applied-AI for nontechnical stakeholders. His background in robotics, diagnostics software and psychology gives him an unusual blend of systems thinking, human-centered design, and regulatory-aware engineering.
7 years of coding experience
19 years of employment as a software developer
Chemistry, Chemistry at University of North TexasBachelor Major in Psychology and Minor in Computer Science, Bachelor Major in Psychology and Minor in Computer Science at The University of Texas at ArlingtonGeneral Studies, General Studies at Tyler Junior CollegeA.A.S & Certificate Robotics and Automation, A.A.S & Certificate Robotics and Automation at Tarrant County CollegeMaster's degree Computer Science, Master's degree Computer Science at Georgia Institute of Technology
English
Github Skills (26)
medical8
mci8
points8
http-api7
weibull7
neuroscience7
normal6
exponential6
api-client6
msbuild6
csharp5
rest-api5
visual-studio5
rest5
api5
Programming languages (5)
Github contributions (5)
fraher/AnalysisTool
Feb 2019 - Jun 2019
This tool allows providers to track cognitive assessments for high-risk MCI patients. This open-source project is designed to provide a standarized modular environment for digital psychometric analysis. The goal of this tool is to assist PCPs, Specialists, and Researchers obtain assessment data outside of the hospital environment at set frequencies. The software is not meant to replace existing providers, but provide additional data points to support a diagnosis.
Contributions:50 commits, 10 PRs, 33 pushes in 4 months
pythongoalriskassessmentsresearchers
fraher/simufit
Oct 2020 - Mar 2021
Simufit is a Python Package designed for the simulation and identification of the following currently supported statistical distributions: Bernoulli, Binomial, Geometric, Uniform, Normal, Exponential, Gamma and Weibull.
Contributions:77 commits, 2 PRs, 1 push in 4 months
distributionspythonfollowingexponentialnormal
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