Wayfair Externship via ExternI explore AI agents and automation workflows through hands-on externship projects with Wayfair and related tools.
Portfolio items focus on AI agent engineering and n8n workflow automation completed during the Wayfair externship and other hands-on experiments.
Designed, built, and published an Android app for tracking job applications and analyzing resumes, owning development from architecture through release. Implemented Clean Architecture and MVVM to separate presentation, domain, and data layers. Integrated the Gemini API to analyze and rewrite resumes
Analyzed 50,000 records using pandas and NumPy; engineered phone-to-sleep ratio, social media share, and lifestyle score features, and visualized trends with Matplotlib and Seaborn. Built linear regression models to examine relationships between phone usage, sleep, app activity, and stress and produ
I explore AI agents and automation workflows through hands-on externship projects with Wayfair and related tools.
I am Nursultan Raimzhanov. I have some work experience and I'm exploring where my career is headed. Recently I completed the Wayfair n8n AI Agent Engineering externship, where I worked on project-based AI automation tasks with n8n for Wayfair-related scenarios.
Externships
Wayfair n8n AI Agent Engineering Externship
In progress
Experience
Android Developer Intern
Motion Web LLC · Feb 2024 6 May 2024
Education
North American University 6 Houston, TX
B.S. in Computer Science, Minors in Data Analytics and Mathematics | GPA: 3.96 / 4.0 · Class of 2028
Skills
Designed, built, and published an Android app for tracking job applications and analyzing resumes, owning development from architecture through release. Implemented Clean Architecture and MVVM to separate presentation, domain, and data layers. Integrated the Gemini API to analyze and rewrite resumes
Analyzed 50,000 records using pandas and NumPy; engineered phone-to-sleep ratio, social media share, and lifestyle score features, and visualized trends with Matplotlib and Seaborn. Built linear regression models to examine relationships between phone usage, sleep, app activity, and stress and produ
✅ 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 externship explored building AI agents with n8n to automate data-driven tasks and workflows. The work involved installing and configuring the n8n platform and then using it to prototype agents that execute planned actions on datasets. Deliverables include a configured n8n instance and initial agent prototypes.
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I installed and configured the n8n environment, explored its interface and core node types, and validated basic automation flows before developing agent prototypes.
