
Matthew Christian
@matthewchristian1
I build production ML systems and modernize cloud infrastructure with measurable impact.
What I'm looking for
At Cascade Systems Group, I lead enterprise infrastructure and production machine-learning initiatives that reduce costs, improve uptime, and deliver business value. I migrated legacy on-prem infrastructure to AWS, cutting annual costs by $85,000 while raising uptime from 98.2% to 99.9%.
I own three production ML models for churn prediction, demand forecasting, and ticket routing that serve 12,000+ daily predictions. I also led delivery of a RAG-based knowledge assistant that reduced support-ticket resolution time by 35% across 400+ employees.
I build with Python, SQL, AWS, LangChain, OpenAI API, Pinecone, FastAPI, and Docker, while mentoring junior engineers and leading an internal AI Practitioners guild. Earlier, I delivered a churn model that contributed to a $310,000 reduction in annual customer attrition and automated reporting workflows that saved 20 hours weekly.
Experience
Work history, roles, and key accomplishments
Senior IT & Data Systems Engineer
Cascade Systems Group
Aug 2024 - Present (2 years 1 month)
Promoted after 14 months for leading migration of legacy on-prem infrastructure to AWS, cutting annual infrastructure costs by $85,000 (22%) and improving uptime to 99.9%. Owns full lifecycle of 3 internal ML models serving 12,000+ predictions/day, and led a cross-functional team to deliver a RAG-based knowledge assistant reducing support ticket resolution time by 35%.
Education
Degrees, certifications, and relevant coursework
Western Governors University
Bachelor of Science, Data Analytics & Machine Learning
2021 - 2023
Pursued a Bachelor of Science in Data Analytics & Machine Learning, focusing on applied data science and machine learning techniques.
University of Alaska Fairbanks
Associate of Applied Science, Information Technology
2019 - 2021
Earned an Associate of Applied Science in Information Technology, building foundational skills in IT systems and support.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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