Harlem Manage is a Kenya-first, multi-tenant real estate operating system built for landlords, agencies, and property firms. It combines property workflows, tenant and lease management, financial reconciliation, communication channels, and Akoko, a deployed operational intelligence layer that adapts by role. We are building it as core infrastructure for African rental operations, not a management panel with a local coat of paint.

CodePinion collapses the toolchain a team normally assembles from four vendors — a git host, a cloud IDE, a PaaS, and a project tracker — into a single product where AI is a first-class citizen rather than a bolted-on sidebar. Teams get on-demand containerised workspaces with live terminals and LSP support, a full git hosting layer with PR review and CI/CD, and one-click provisioned databases and app hosting. We are building it for a market that has been served last by every incumbent developer platform.

Catalog-Point is a Django-based library management system covering the full operational surface of a real library: inventory tracking, category management, borrowing workflows, cost calculation, approval states, return handling, and user activity history — for both librarians and members.

A backend-first commerce platform focused on clear domain separation, predictable API behavior, and a schema that supports catalog, cart, and order lifecycles without coupling everything into a single service layer. Paired with a public React frontend repo.

A machine learning search system built on ~45,000 StackOverflow records. The key insight was that a single retrieval technique misses intent — so the pipeline runs in 2 stages: classify the query to predict missing context tags, then use those enriched tags to improve the similarity search.

A content-based recommender that processes movie metadata through 3 explicit pipeline stages: feature extraction, vector representation, and similarity scoring. The design prioritizes explainability — every suggestion is traceable to specific shared metadata signals rather than opaque collaborative filtering.