Matt Evanoff
Agentic Engineer, Principal at MGT Insurance
United States
Summary
👤
Senior🎓
Top SchoolMatt Evanoff is an Agentic Engineer and Principal with 11 years of experience designing, building, and evaluating AI agents and traditional ML systems, now applying that expertise at MGT Insurance. At Salesforce he shipped 5+ production agents and an AI toolkit that accelerated development for 30+ data scientists, delivering $30M+ in cost savings and saving over 100,000 hours of work. He combines hands-on ML engineering—SageMaker endpoints, RAG, Python pipelines—and platform thinking, having led an Agentic Evaluation SDK and near-real-time LLM routing to improve handoffs and user satisfaction. A former student-athlete from UC Berkeley, he brings relentless effort and team-first discipline to technical leadership and mentoring. Practical, results-oriented, and operationally savvy, he thrives on turning complex AI research into reliable, measurable business impact.
11 years of coding experience
10 years of employment as a software developer
Bachelor's degree American Studies Business and Globalism, Bachelor's degree American Studies Business and Globalism at University of California, BerkeleyMachine Learning Engineer Nanodegree Machine Learning, Machine Learning Engineer Nanodegree Machine Learning at UdacityFull Stack Developer, Full Stack Developer at Dev Bootcamp
Github Skills (5)
machine-learning4
object-detection4
handwriting4
python4
handwriting-recognition3
Programming languages (1)
Github contributions (5)
mevanoff24/DataScience
Jun 2015 - Jun 2018
Contributions:105 pushes, 1 branch in 3 years
mevanoff24/MachineLearningNanodegree
Nov 2015 - Apr 2016
Contributions:26 commits, 25 pushes, 1 branch in 4 months
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