CTO / Software Engineer / ML Engineer
Building intelligent systems, multi-tenant operating systems, and machine learning-powered execution layers for real-world products.
Production domains
Health + fintech + proptech
Core focus
Multi-tenant systems & ML execution
Mindset
Reliable, scalable, domain-aware
Live systems pulse
Operating model
RealtimeArchitecture loop
Selected systems
Production-minded work
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.
CodePinion
Reimagined developer Q&A by combining traditional threads with live chat and video-based collaboration for faster, more human problem solving.
Catalog-Point
Built a full-stack library operations platform that manages inventory, borrowing workflows, member activity, and librarian approvals in one Django-based system.
E-Commerce Backend System
Designed a backend commerce API around real purchase flows, authorization boundaries, and data integrity.
ML Search Engine
Improved search relevance by combining tag prediction with semantic retrieval on a StackOverflow-scale dataset.
Movie Recommendation System
Built a recommendation pipeline that turns movie metadata into similarity-driven suggestions.
I focus on the kind of engineering that holds up under real use: multi-tenant architecture, robust data flows, role-aware systems, and software that can be reasoned about, debugged, and improved over time.
Current domain
Proptech operating systems
Leading Harlem Manage as a Kenya-first multi-tenant real estate operating system with embedded AI execution.
Production background
Health + fintech workflows
Experience in structured, reliability-sensitive systems that shaped how I approach financial correctness and backend design.
Engineering style
Systems thinking, scalable backend design, and AI that behaves like a governed product subsystem instead of a bolt-on feature.
These projects highlight how I approach architecture, domain problems, and production-ready implementation.
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.
Architecture highlights
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.
Architecture highlights
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.
Architecture highlights
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.
Architecture highlights
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.
Architecture highlights
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.
Architecture highlights
The combination of CTO-level product building, informatics systems, and fintech experience informs how I think about data integrity, workflows, and software reliability.
Current
Chief Technology Officer
Current
Software Engineer
3 months
Software Engineer Intern / Contract
Capabilities
Backend Engineering
REST API Design / Systems Design / Django / PostgreSQL / MySQL / Redis / RabbitMQ
ML / Data Science
TF-IDF & NLP / Classification / Similarity Models / scikit-learn / TensorFlow / OpenAI API
Programming
Data Structures & Algorithms / Python / TypeScript / JavaScript / Java / React / Next.js / HTML / CSS
Tools
Git / Linux / Docker / Grafana / Sentry / GlitchTip / Codex / Claude Code
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