AN

Alex Ndungu

CTO + Software Engineer + ML Engineer

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Let's talk
HomeAboutExperienceProjectsSkillsContact

Alex Ndungu

Backend systems, machine learning retrieval, and clean product-minded engineering for teams that care about reliability.

GitHubLinkedInLeetCodealexmeta517@gmail.com
Available for high-impact software engineering roles

CTO / Software Engineer / ML Engineer

Alex Ndungu

Building intelligent systems, multi-tenant operating systems, and machine learning-powered execution layers for real-world products.

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Production domains

Health + fintech + proptech

Core focus

Multi-tenant systems & ML execution

Mindset

Reliable, scalable, domain-aware

Live systems pulse

How I think when building production software

System-aware engineering

Operating model

Realtime
RBAC + tenant isolation active
Akoko execution context loaded
Ledger-safe workflows online
Search + retrieval pipeline ready

Architecture loop

01
02
03
04
Model
Control
Observe
Refine

Selected systems

Production-minded work

Shipping

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.

01

CodePinion

Reimagined developer Q&A by combining traditional threads with live chat and video-based collaboration for faster, more human problem solving.

02

Catalog-Point

Built a full-stack library operations platform that manages inventory, borrowing workflows, member activity, and librarian approvals in one Django-based system.

03

E-Commerce Backend System

Designed a backend commerce API around real purchase flows, authorization boundaries, and data integrity.

04

ML Search Engine

Improved search relevance by combining tag prediction with semantic retrieval on a StackOverflow-scale dataset.

05

Movie Recommendation System

Built a recommendation pipeline that turns movie metadata into similarity-driven suggestions.

06
Why me

Production engineering discipline with ML systems depth.

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.

Featured projects

Selected work with strong backend, product, and AI systems signals.

These projects highlight how I approach architecture, domain problems, and production-ready implementation.

Harlem Manage
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
CodePinion
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
Deep diveGitHub
Catalog-Point
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
Deep diveGitHub
E-Commerce Backend System
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
Deep diveFrontendBackend
ML Search Engine
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
Deep diveGitHub
Movie Recommendation System
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
Deep diveGitHub
Experience snapshot

Work shaped by product ownership, enterprise structure, and operational rigor.

The combination of CTO-level product building, informatics systems, and fintech experience informs how I think about data integrity, workflows, and software reliability.

Current

Harlem Manage

Chief Technology Officer

Explore role

Current

Savannah Informatics

Software Engineer

Explore role

3 months

E&M Tech

Software Engineer Intern / Contract

Explore role

Capabilities

Backend foundations, operational AI, and a product sense for what matters.

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

View skill breakdown
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