Kellan Christ
@kellanchrist
AI Engineer building production LLM systems, agentic workflows, and enterprise automation with measurable efficiency gains.
What I'm looking for
I’m an AI Engineer and computer scientist with production experience building LLM-powered systems, agentic workflows, and enterprise automation. I consistently translate complex technical architectures into scalable, business-ready solutions, reducing manual effort by 80%+ while maintaining data integrity and auditability.
My graduate research focused on LLM fine-tuning (LoRA, QLoRA) on custom domain-specific datasets and LangChain-based RAG pipeline development for code generation. I used PyTorch and Hugging Face to improve output accuracy by combining vector retrieval with context-augmented generation.
In industry, I’ve deployed GPT and Copilot Studio systems for knowledge automation and built integrations across financial operations (including NetSuite API/SuiteScript workflows). I also lead end-to-end automation projects—authoring requirements, mapping system architecture, and coordinating cross-functional delivery to deliver measurable operational improvements.
Experience
Work history, roles, and key accomplishments
Business Analyst - Automation
UnityFi Solutions
Dec 2025 - Present (4 months)
Built Python commission automation to eliminate 80+ hours/month of manual Excel work to under 5 minutes, packaged for non-technical users. Deployed GPT + Copilot Studio knowledge automation and engineered NetSuite API/SuiteScript workflows, alongside Power BI dashboards for real-time ops metrics, SLA tracking, and risk scoring.
Graduate Teaching Assistant
University of Tennessee
Aug 2022 - Aug 2025 (3 years)
Authored a Python automated grading system for DS&A courses, reducing grading time by 60%. Mentored cohorts in C++ and Python, improving class performance by 30%.
Streamlined log aggregation (Python/Bash) across Splunk, Kenna, and Anomali, handling 100K+ daily events. Built executive vulnerability dashboards to track compliance trends, threat patterns, and risk scores.
Education
Degrees, certifications, and relevant coursework
University of North Carolina at Charlotte
Bachelor of Science, Computer Science
Completed a B.S. in Computer Science.
University of Tennessee, Knoxville
Master of Science, Computer Science
Completed an M.S. in Computer Science with graduate research on LLM fine-tuning (LoRA/QLoRA) and development of a LangChain-based RAG pipeline for code generation.
Availability
Location
Authorized to work in
Portfolio
github.com/WindeezKC/QuantJob categories
Skills
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