Projects
Case studies built to show system thinking, not just finished screenshots.
These projects are framed the way hiring teams evaluate engineering work: problem definition, architecture quality, implementation choices, and what the system proves.
Multi-Tenant Real Estate Operating System
Harlem Manage
Designed and led a production-grade property management platform with embedded role-aware AI, M-PESA-first financial workflows, and multi-tenant operational isolation.
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.
Next.jsDjangoDjango REST FrameworkPostgreSQLM-PESAWhatsApp/SMSAkoko AI
Architecture highlights
- - Organization-scoped multi-tenant model covering properties, units, tenants, finance, and operations
- - Granular RBAC for owners, property managers, caretakers, tenants, guards, and platform admins
Deep divePrivate Repo
Real-Time Developer Collaboration Platform
CodePinion
Reimagined developer Q&A by combining traditional threads with live chat and video-based collaboration for faster, more human problem solving.
CodePinion is a next-generation developer Q&A platform designed to reduce the friction of static knowledge-sharing systems. Instead of forcing developers to search through old threads and wait for comment replies, it creates a real-time collaboration layer where people can ask questions, connect with answerers, and work through problems live.
JavaScriptHTMLCSSPythonNode.jsReal-time communicationVideo integration
Architecture highlights
- - JavaScript-dominant full-stack architecture with frontend and backend collaboration flows
- - Real-time communication layer for chat and video signaling
Library Management System
Catalog-Point
Built a full-stack library operations platform that manages inventory, borrowing workflows, member activity, and librarian approvals in one Django-based system.
Catalog-Point is a comprehensive library management system built with Django for handling book inventory, user profiles, borrowing transactions, and day-to-day library workflows. It supports both librarian and member experiences, combining operational administration with searchable catalog access and transaction tracking.
DjangoPythonPostgreSQLHTMLCSSJavaScriptDjango AllauthGunicorn
Architecture highlights
- - Relational model design covering profiles, categories, books, costs, and transactions
- - Role-based workflows for librarians and members with approval and return handling
Production Backend Engineering Project
E-Commerce Backend System
Designed a backend commerce API around real purchase flows, authorization boundaries, and data integrity.
A backend-only commerce platform focused on clear domain boundaries, predictable API behavior, and a schema that supports catalog, cart, and order lifecycles without coupling everything into a single service layer.
JavaSpring BootPostgreSQLJWT AuthReactREST APIs
Architecture highlights
- - Token-based authentication and role-aware authorization
- - Product, cart, and order domains separated into composable services
Hybrid ML Search & Retrieval System
ML Search Engine
Improved search relevance by combining tag prediction with semantic retrieval on a StackOverflow-scale dataset.
A machine learning retrieval system built on roughly 45,000 StackOverflow records, combining text preprocessing, TF-IDF vectorization, SGD-based tag prediction, and cosine similarity search.
PythonPandasscikit-learnTF-IDFNLP preprocessingCosine similarity
Architecture highlights
- - HTML cleaning, normalization, and tokenization pipeline
- - TF-IDF feature extraction tuned for technical language
Content-Based Recommendation Engine
Movie Recommendation System
Built a recommendation pipeline that turns movie metadata into similarity-driven suggestions.
A content-based recommender that processes movie metadata, extracts meaningful features, and computes similarity between titles to generate relevant suggestions without relying on collaborative user behavior.
PythonPandasscikit-learnFeature engineeringSimilarity modeling
Architecture highlights
- - Metadata cleaning and feature extraction pipeline
- - Vector-based content representation for each title