Senior risk professional applying agentic AI frameworks to software supply chain risk management and enterprise security domains.
I operate at the intersection of software supply chain risk management and applied artificial intelligence. My work spans vendor risk frameworks, agentic workflow design, and cloud-native security tooling - building systems that are both rigorous and adaptive.
Based in the United States. Currently focused on applying emerging agentic frameworks to software supply chain risk management. I care about building things that hold up under scrutiny and scale.
Three domains that inform how I think about building and managing risk at scale.
Designing multi-agent workflows using CrewAI, LangGraph, and the Claude API. Focused on enterprise applications where reliability and traceability are non-negotiable.
Software supply chain risk management frameworks, third-party vendor risk, compliance program design, and risk tooling built for how large organizations actually operate.
Cloud-native architecture with a security-first posture. AWS, Azure, and GCP environments, IAM design, and infrastructure patterns that reduce attack surface by default.
A selection of projects spanning AI tooling, risk automation, and cloud infrastructure.
7-project portfolio from the UT Austin McCombs Post Graduate Program in AI/ML. Spans CNN image classification, RAG systems, LLM fine-tuning, and containerized model deployment.
15-module portfolio covering multi-agent systems, RAG pipelines, MCP, FastAPI automation, and Azure AI. Built across the full agentic stack from retrieval architecture to production deployment patterns.
Multi-agent system with a hybrid Router Agent that dispatches queries to PDF and Tavily web retrievers based on query type. Demonstrates stateful orchestration with intelligent retrieval routing.
Framework for matching the right AI tool to the right cybersecurity job. Maps AI capabilities to security use cases across threat detection, incident response, vulnerability management, and GRC.
Dual-framework agentic study workflow that processes PDFs using both CrewAI and LangGraph side-by-side. Demonstrates role-based agent collaboration vs. stateful graph orchestration for the same task.
Lightweight bi-directional conversion utility between common file formats and Markdown. Built for document ingestion pipelines and agentic workflows that require consistent text input.
Tools and frameworks I reach for across AI, cloud, and risk work.
Active certifications across security, risk, and cloud domains.
Formal education spanning business, finance, and information security.
Capella University
SUNY Oswego - Finance
Open to discussions about AI risk, enterprise tooling, and projects at the intersection of the two.