I'm an AI Solutions Architect focused on agentic AI — building autonomous engineering agents, Model Context Protocol (MCP) tooling, and the guardrails that make LLM-driven systems safe to ship in production.
I'm currently at C3 AI, where I build agentic AI and observability tooling, and I'm pursuing an M.S. in Computer Science at Georgia Tech.
Before C3, I delivered solutions architecture and data products at TransUnion.
Georgia Institute of Technology
M.S. Computer Science (Ongoing)
University of California, Santa Barbara
B.S. Statistics and Data Science
● Python
● SQL
● Bash
● Git
● Kubernetes
● Docker
● Terraform
● AWS / Azure
◈ Agentic AI & MCP
◈ LLM Security & Guardrails
◈ RAG Architectures
◈ Cloud Infrastructure
◈ Observability
◈ Vector Search
Pulled used car data using BeautifulSoup and Selenium. Feature engineering and visual overview of cleaned data.
Python
Implementation of multivariate linear regression, random forests, and other machine learning models for prediction and insights.
R
Mathematical analysis essay on exp(x), including proofs for the existence of e, exp:R→R, and more.
LaTeX
Utilized model selection by AICc, spectral analysis, and other methods to draw conclusions on changes in US candy production.
R
Vanilla HTML, CSS & JS — no frameworks.
HTML
CSS
JS