About
At the end of 2023, I left my role as an Application Developer at GACL to go fulltime into freelancing and building my own SaaS businesses. I hold a degree in computer science, interned at enterprise organizations in Ghana, and competed in 3 hackathons for fun. Most notably, I engineered a Food Ordering System for Didi Jollof (in partnership with a German startup) that scaled to GH₵1.5M+ in revenue and 3,000+ orders in under 8 months across WhatsApp and web.
Work Experience
Skills
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
Built a full-stack event management platform for CreateIT Africa, handling multi-tier registration for attendees, exhibitors, and vendors with live payments, automated email confirmations, and a full admin dashboard for managing speakers, sessions, sponsors, and SMS campaigns.
This is an AI-powered multi-branched commerce platform built to help businesses launch, manage, and scale their online stores from a single ecosystem. It combines marketplace infrastructure with an intelligent AI Sales Agent that lives in the social media handle of your choice to help assists customers, recommends products, and automates sales conversations to improve conversions.
A bespoke portfolio platform and CMS engineered for a creative media brand, combining immersive content presentation with streamlined management of projects, media assets, and client inquiries through a unified administrative dashboard.
PolyraHR is a modern, cloud-based Human Resource Management System designed to help organizations efficiently manage their workforce across multiple departments, branches, and locations. Inspired by the robustness of Frappe HR but rebuilt with a modern TypeScript-first stack.
I like building things
Some of my sharpest memories from university are from hackathons, three weekends where people dropped everything, showed up with laptops and ideas, and built something real together. It changed how I think about what's actually possible in a short amount of time.
GDSS 2026 Hackathon
Virtual, In-person
Built an image-to-IMDB tool that auto-fills 10 product master attributes (barcode, brand, weight, category, etc.) from a single product photo. Used a vision-language model pipeline with OCR, regex validation, and duplicate-merge suggestions, outputting a structured CSV/Excel file ready for database upload.
VahanBima CLTV Prediction
Kaggle, Remote
Built a machine learning model to predict Customer Lifetime Value (CLTV) for a leading Indian motor insurance company, enabling tiered customer segmentation for personalized services. Used LightGBM/XGBoost with SHAP-based interpretability, evaluated on R² score.
Garbage Classification
Kaggle, Remote
Built a garbage classification web application using PyTorch and Streamlit. Fine-tuned a pretrained ResNet50 model to automatically sort waste into categories, reducing reliance on manual hand-picking and minimizing health risks for waste workers.
Get in Touch
Want to chat? Just shoot me a dm with a direct question on twitter and I'll respond whenever I can. I will ignore all soliciting.