Currently an Extern @Wayfair
Currently an Extern @WayfairFocused on building practical software and the systems behind it. I prefer having hands-on experience with what I learn, applying it in troubleshooting and maintenance, system
My portfolio highlights personal work and projects from my time as aCS student, emphasizing programming, problem solving, and systems fundamentals.
Personal Project
– Built and deployed a self-hosted Ubuntu Server environment on dedicated hardware, provisioning containerized services (monitoring, reverse proxying, file management, remote development) using Docker to support always-on personal infrastructure. – Configured secure remote access and network reachab
– Built a TypeScript/Manifest V3 Chrome extension that tracks Claude.ai usage against session and weekly limits, with configurable multi-threshold alerting across Discord, Telegram, and Slack and de-duplication logic to prevent alert spam. – Designed a self-hosted Node.js/Docker backend with an inst
– Building an anime recommendation platform for newcomers, pairing a React frontend with a Node/Express API and PostgreSQL database, containerized with Docker and exposed via a Cloudflare Tunnel. – Designing a tailored recommendation quiz, free-text search, and detail pages with Google OAuth authen
Wayfair · ✅ 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.
Focused on building practical software and the systems behind it. I prefer having hands-on experience with what I learn, applying it in troubleshooting and maintenance, system
I am Jacob Rweteshi, a Computer Science Student at Pacific Lutheran University working toward a bachelors degree. I have some professional experience and am preparing to start my career, focusing on building technical skills and practical projects.
Externships
Wayfair n8n AI Agent Engineering Externship
Wayfair
Experience
AI Extern, Wayfair
Extern · Aug 2026
Student Network Technician
Pacific Lutheran University · May 2026
ITSM Service Desk Agent
Edmonds College · Feb 2024 - Dec 2025
Information Technology Intern
Engie Energy Access (Africa) · Jul 2023 - Sep 2023
Information Techology Intern
Engie Energy Access (Africa) · Jul 2022 - Sep 2022
Education
PacifiC Lutheran University
B.A in Computer Science · Class of 2028
Edmonds College
Associates Degree in Computer Science · Class of 2025
Skills
Personal Project
– Built and deployed a self-hosted Ubuntu Server environment on dedicated hardware, provisioning containerized services (monitoring, reverse proxying, file management, remote development) using Docker to support always-on personal infrastructure. – Configured secure remote access and network reachab
– Built and deployed a self-hosted Ubuntu Server environment on dedicated hardware, provisioning containerized services (monitoring, reverse proxying, file management, remote development) using Docker to support always-on personal infrastructure. – Configured secure remote access and network reachability across devices using a mesh VPN and DNS resolution, achieving reliable cross-device connectivi
– Built a TypeScript/Manifest V3 Chrome extension that tracks Claude.ai usage against session and weekly limits, with configurable multi-threshold alerting across Discord, Telegram, and Slack and de-duplication logic to prevent alert spam. – Designed a self-hosted Node.js/Docker backend with an inst
– Built a TypeScript/Manifest V3 Chrome extension that tracks Claude.ai usage against session and weekly limits, with configurable multi-threshold alerting across Discord, Telegram, and Slack and de-duplication logic to prevent alert spam. – Designed a self-hosted Node.js/Docker backend with an installable PWA dashboard for cross-device usage history, and re-architected the extension’s data-access
– Built a TypeScript/Manifest V3 Chrome extension that tracks Claude.ai usage against session and weekly limits, with configurable multi-threshold alerting across Discord, Telegram, and Slack and de-duplication logic to prevent alert spam. – Designed a self-hosted Node.js/Docker backend with an installable PWA dashboard for cross-device usage history, and re-architected the extension’s data-access
– Building an anime recommendation platform for newcomers, pairing a React frontend with a Node/Express API and PostgreSQL database, containerized with Docker and exposed via a Cloudflare Tunnel. – Designing a tailored recommendation quiz, free-text search, and detail pages with Google OAuth authen
– Building an anime recommendation platform for newcomers, pairing a React frontend with a Node/Express API and PostgreSQL database, containerized with Docker and exposed via a Cloudflare Tunnel. – Designing a tailored recommendation quiz, free-text search, and detail pages with Google OAuth authentication and server-enforced content filtering.
✅ 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.
The project was an externship on AI agent engineering using the n8n automation platform. The work involved installing and configuring n8n, exploring its node-based workflows, and connecting agent logic to data and dashboard components. Deliverables documented the configured n8n instance and the agent workflow prototype.
.png)
I produced a prompt generator report and a Moodboard Generator workflow, demonstrating how prompt detail (material and texture) changes image-agent outputs to match a target rug texture.
During the n8n externship I created a prompt generator report comparing a vague prompt to a detailed one, ran both through the image agent, and documented that adding material and texture detail produced an output matching the intended rug texture.
During the externship I built an end-to-end Market Trend Discovery Agent focused on shag rugs. I wired n8n workflows for input routing, Amazon scraping, social signal ingestion, AI processing, and image generation, and produced a PDF trend report plus a walkthrough video.
