Hostel Mapper
Built an AI-powered tool to help a friend map hostels for KNUST students – it was his machine learning project. Functional prototype, not yet deployed to production. Built with n8n.
Wayfair Externship via Extern
Wayfair Externship via ExternGeomatic Engineering student learning at the intersection of spatial data systems, AI agent automation, and digital security pipelines.
A collection of coursework, personal projects, and practice work that show how I am developing skills and preparing for professional opportunities.
Built an AI-powered tool to help a friend map hostels for KNUST students – it was his machine learning project. Functional prototype, not yet deployed to production. Built with n8n.
Built an AI agent (called Vector) that helps student business owners manage customer interactions and orders, so they do not lose customers to late replies while focusing on academic work. Functional prototype, not yet deployed to production. Built with Claude API.
Built a smart opportunity alert bot (automation with make.com) that scrapes websites for opportunities, filters them based on relevance to my field and career objectives, and briefs me every morning via email. Built with Manus AI.
I have built several automations to streamline processes across application onboarding and selection processes using automation tools like n8n and make.com
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.
Geomatic Engineering student learning at the intersection of spatial data systems, AI agent automation, and digital security pipelines.
I build intelligent digital tools at the convergence of spatial data, autonomous AI agents, and workflow automation. My hands-on execution spans engineering custom AI customer ops agents using the Claude API, orchestrating automated data scraping pipelines in n8n and Make.com, and spatial data processing. With a strong background in visual design, I focus on creating clean, high-impact digital solutions while continuously expanding my technical stack across systems engineering and data security.
Externships
Wayfair n8n AI Agent Engineering Externship
In progress
Experience
Intern
Department of Feeder Roads · Sep 2026 - Oct 2026
Intern
Lands Commission, Eastern Region, Ghana · Sep 2025 to Dec 2025
Graphic Designer (Part-time)
Smak Media Empire, Koforidua · 2021 to 2025
Education
KNUST, Kumasi, Ghana
BSc Geomatic Engineering · Class of 2028
St Peter's Senior High School, Nkwatia-Kwahu
WASSCE (Science) · Class of 2024
Koforidua Freeman Methodist Junior High
BECE · Class of 2021
Skills
Built an AI-powered tool to help a friend map hostels for KNUST students – it was his machine learning project. Functional prototype, not yet deployed to production. Built with n8n.

Built an AI agent (called Vector) that helps student business owners manage customer interactions and orders, so they do not lose customers to late replies while focusing on academic work. Functional prototype, not yet deployed to production. Built with Claude API.

Built a smart opportunity alert bot (automation with make.com) that scrapes websites for opportunities, filters them based on relevance to my field and career objectives, and briefs me every morning via email. Built with Manus AI.

I have built several automations to streamline processes across application onboarding and selection processes using automation tools like n8n and make.com
I have built several automations to streamline processes across application onboarding and selection processes using automation tools like n8n and make.com

✅ 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 introduced agent engineering using n8n to connect AI reasoning with data and automation. The work involved installing and configuring n8n, exploring its node-based workflows, and preparing the environment for building agents and a live dashboard.
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I converted concise style prompts into complete image-generation prompts, built and debugged an n8n Prompt Node, and produced art-direction outputs with working workflow executions.
The submission showed converting brief style ideas into full image-generation prompts, building and debugging an n8n Prompt Node, and producing detailed art-direction outputs and successful workflow runs.
The project took Amazon, social, and blog feeds through a seven-stage n8n pipeline. I built input routing, scraping, AI classification, image fallbacks, and report assembly, producing a downloadable HTML trend report and supporting workflow files.
During the externship I built an end-to-end agent pipeline that fetched product listings from Wayfair, Amazon, and Walmart, merged and analyzed prices and features, and produced a PDF report with a named supplier shortlist and pricing comparisons.