/* Passionate about leveraging AI to drive business insights and innovation. Let's build the future together! */
🟢 Open to work
Currently an Extern @WayfairDiscover my work in AI engineering and business intelligence, showcasing innovative projects that drive impact.
Engineered an applied AI system with a functional RAG pipeline, automated reliability testing, and human-in-the-loop safety guardrails; documented complete system architecture using Mermaid diagrams, including sample interactions and a responsible-AI reflection on design trade-offs.
Building a full RAG pipeline — document ingestion, custom chunking, vector search, and grounded, source-cited answers — with measurable acceptance criteria and a relevance gate to prevent unsupported model output.
.png)
✅ Verified by Extern
Learn one of the most in-demand skills shaping the future of work: building AI agents. In this externship, you’ll step into the role of an AI Agent Developer and use n8n to design agents that think, plan, and act on real data — automating insights, decisions, and workflows. No coding experience required. By the end, you’ll create a live dashboard powered by your own AI agents, gaining hands-on experience that applies to any role or industry — from marketing and consulting to product management and data science.
Passionate about leveraging AI to drive business insights and innovation. Let's build the future together!
I'm a Computer Science major with hands-on experience in AI engineering. Currently, I'm honing my skills through an externship at Wayfair, where I focus on applying AI solutions to enhance business intelligence.
Externships
Wayfair n8n AI Agent Engineering Externship
In progress
Experience
Pro Sales Associate
The Home Depot · Feb 2026
Education
Western Governors University
Master of Science, Artificial Intelligence / Machine Learning
Skills
Engineered an applied AI system with a functional RAG pipeline, automated reliability testing, and human-in-the-loop safety guardrails; documented complete system architecture using Mermaid diagrams, including sample interactions and a responsible-AI reflection on design trade-offs.
Building a full RAG pipeline — document ingestion, custom chunking, vector search, and grounded, source-cited answers — with measurable acceptance criteria and a relevance gate to prevent unsupported model output.
✅ Verified by Extern · ⏱️ In progress
Learn one of the most in-demand skills shaping the future of work: building AI agents. In this externship, you’ll step into the role of an AI Agent Developer and use n8n to design agents that think, plan, and act on real data — automating insights, decisions, and workflows. No coding experience required. By the end, you’ll create a live dashboard powered by your own AI agents, gaining hands-on experience that applies to any role or industry — from marketing and consulting to product management and data science.
This externship trained an AI agent developer workflow using n8n to design agents that plan and act on data. The work mapped n8n components, configured agent logic, and connected data sources. Deliverables included a live dashboard driven by the created agents.
I worked through the externship tasks to set up n8n, design agent logic, integrate data sources, and publish a dashboard driven by the agents.
