I build platforms that hold. And the engineers, the company and the research behind them.

Nigerian computer scientist and principal engineer. Founder of Cuesoft Inc., the AI company that builds its own engineers. Platform engineering at Pluto TV (Paramount Skydance), and PhD research in AI-driven infrastructure reliability at the University of North Dakota, from August 2026.

Distributed systems
Observability
AI-native talent
Reliability research

Get in touch Cuesoft, the company

Ibukun Dairo, founder and principal engineer at Cuesoft

11+

years building software, since April 2015

120+

microservices across Pluto TV and Cuesoft

100+

engineers mentored through Cuesoft Inc.

$250k+

in cloud credits and partner support secured

11+ years in, three tracks.

The journey started in a classroom without a computer. By April 2015 I was writing software for a living, building fintech for lenders in Lagos and Oyo while finishing a computer science degree at the University of Ibadan. Marketplace backends, mobile apps, and the first Linux servers I was trusted not to break. That is where the reliability habit started: when the platform moves other people’s money, "it works on my machine" is not a standard.

From 2019 the work went global and stayed remote. I spent two years building the OneUptime open-source monitoring platform, then ran two contracts in parallel for nearly four years. At Traive, an agri-fintech, I was the founding SRE, the only infrastructure engineer from pre-seed onward, and built its multi-tenant Kubernetes platform. At Pluto TV (Paramount Skydance), I authored the telemetry standard now running across 70+ microservices.

Through all of it the constant has been Cuesoft, building since April 2017, first as a services practice, now an AI company that builds its own engineers across Africa. The next track is formal: an MBA finished in 2025, and from August 2026 a PhD at the University of North Dakota, turning more than a decade of production reliability practice into research on predicting failures before they page anyone.

Apr 2015
First paid software work, Lagos and Oyo
Apr 2017
Cuesoft founded
Aug 2019
Global and remote: OneUptime
Sep 2021
Two contracts in parallel: Traive and Pluto TV
Jul 2025
MBA completed, Nexford University
Aug 2026
PhD begins, University of North Dakota

Three tracks, one thesis. Reliability is people, systems and proof.

The tracks compound rather than compete: the platform work sets the standard, Cuesoft trains engineers to it, and the research formalizes what production keeps teaching.

Industry

Platform Engineer, Pluto TV (Paramount Skydance)

Owns observability standards for a streaming platform serving millions: one telemetry library across 70+ microservices, golden-signal dashboards, and SLO-driven monitoring that cut critical incidents by 35% and mean time to recovery by 40%.

pluto.tv →

Founder

Cuesoft Inc.

An AI company that builds its own engineers. CueTA™ trains them on live AI work, CueLABS™ proves them in public on open-source products, and CueHIRE™ delivers them to companies as scoped builds, managed teams and direct hires.

cuesoft.io →

Research

PhD, University of North Dakota

From August 2026: asking whether multi-modal observability data, logs, metrics, traces and events read together, can predict infrastructure faults accurately enough to act on.

und.edu →

The company. Train. Prove. Deliver.

Cuesoft is the AI company that builds its own engineers. AI has changed what a useful engineer is, and Africa is where Cuesoft builds the new kind: trained on live AI work, proven in the open, delivered to companies. One flywheel, three divisions. Building since April 2017, incorporated in the United States as Cuesoft Inc. (Dover, Delaware) and in Nigeria as Cuesoft Nigeria Limited (Ikoyi, Lagos).

TrainsSince 2024

CueTA™

The talent academy. Engineers learn on live AI work: agentic systems, AI automation and AI-assisted engineering.

cueta.cuesoft.io →

ProvesSince 2023

CueLABS™

Open-source internships. Cohorts ship Cuesoft’s open-source products in public on GitHub, where the work speaks for itself.

cuelabs.cuesoft.io →

DeliversSince 2025

CueHIRE™

The delivery arm: end-to-end scoped builds, managed engineers, and referral hiring for companies that want proven AI-native talent.

cuehire.cuesoft.io →

Each division is run day to day by its managing director: Dr. Ayanfe Oluyomi (CAIO, MD of CueTA™), Mubin Sheidu (COO, MD of CueHIRE™) and Olaife Olawore (CTO, MD of CueLABS™).

Proof, not promises.

Cueprise, a licensing-based commerce engine for African businesses, run as one isolated deployment per client.
The CueShow™, the Cuesoft podcast, with a 20,000+ subscriber YouTube channel.
Over $250,000 in cloud credits and partner support secured from AWS, Google Cloud, Datadog and GitHub.

cuesoft.io →cueprise.cuesoft.io →

The track record. Dated and checkable.

Apr 2017 – Present

Delaware, United States and Lagos, Nigeria

Founder & CEO, Principal Engineer, Cuesoft Inc.

Built Cuesoft from a services practice into a three-division AI company.
Founded CueTA™, the talent academy. 100+ engineers mentored through Cuesoft Inc. since 2017, across all three divisions.
Runs CueLABS™, where intern cohorts build Cuesoft’s open-source products in public on GitHub.
Delivered Cueprise, a commerce engine for African businesses, licensed and operated as one isolated deployment per client.
Secured over $250,000 in cloud credits and partner support from AWS, Google Cloud, Datadog and GitHub.
Hosts The CueShow™, the Cuesoft podcast; its YouTube channel has passed 20,000 subscribers.

Google Cloud
Firebase
Docker
Next.js
React
TypeScript
Go
Python
Datadog

Sep 2021 – Present

California, United States. Remote.

Platform Engineer, Pluto TV (Paramount Skydance)

Contract, via Andela

Led the organization-wide migration to OpenTelemetry, personally authoring the logging library that keeps telemetry consistent across 70+ microservices.
Drove SLO-driven monitoring with golden-signal dashboards and monitors, reducing critical incidents by 35% and mean time to recovery by 40%.
Oversees platform infrastructure and library upgrades for web applications and a video streaming platform serving millions of users.

OpenTelemetry
Datadog
Prometheus
PagerDuty
SLOs
Kubernetes
ArgoCD
Go
Node.js
AWS
Google Cloud
CircleCI

Sep 2021 – Apr 2025

Massachusetts, United States. Remote.

Senior DevOps Engineer, Traive Inc.

Contract, via HackerBay

Founding SRE: the sole DevOps and reliability engineer from pre-seed onward, supporting 20+ engineers across three continents and architecting the entire cloud strategy.
Architected and deployed a secure multi-tenant system on Kubernetes, giving every client an isolated environment with a dedicated database.
Ran AWS infrastructure as Terraform modules and established organization-wide CI/CD practice with GitHub Actions and Datadog, cutting infrastructure downtime by 90%.

AWS
Kubernetes
Helm
Terraform
ArgoCD
GitOps
Kafka
GitHub Actions
Datadog
PostgreSQL
Redis

Aug 2019 – Aug 2021

Massachusetts, United States. Remote.

Senior Software Engineer, HackerBay Inc. (OneUptime)

Contract

Built core pieces of the OneUptime open-source SRE and monitoring platform: real-time alerting infrastructure and monitoring probes.
Developed the Server Monitor npm package, a daemon that reports CPU, memory and temperature from client machines for alerting.
Made the platform’s website fully mobile responsive, removing the immediate need for a separate mobile application.

Node.js
JavaScript
React
Bash
MongoDB
Redis
GitLab
Linux

Early career

Four years of full-stack web and mobile work in Nigeria (Node.js, Angular, Vue.js, Ionic and MySQL), including the 700lenders fintech marketplace, custom mail servers, and first production Linux systems.

Lead Software Developer, CreditclanDec 2017 – Jul 2019
Web Developer, CloudWare TechnologiesAug 2016 – Nov 2017
Software Developer, OrbiApr 2015 – Jul 2016

The research programme. Reliability, predicted.

Platform and reliability work keeps teaching the same lesson: observability tools alone do not prevent failures. Even with mature dashboards, monitors and SLOs, teams still react to incidents instead of avoiding them. My PhD research at the University of North Dakota, from August 2026, is about closing that gap with AI-driven methods for infrastructure reliability: machine learning that fuses production logs, metrics and traces into fault predictions that are accurate, early and explainable enough to act on.

The questions

Can multi-modal observability, logs, metrics and traces read together, predict faults accurately under real production workloads?
Can SLO-aware learning prevent incidents hours before impact, not minutes?
Can explainable predictions earn an operator’s trust in the middle of a high-stress incident?

At UND that means the Artificial Intelligence Research (AIR) Center, the Talon high-performance computing cluster and a Carnegie R1 research culture. The plan runs from fused-telemetry anomaly models through causal fault localization to human-centered studies of how predictions should reach engineers, published at systems and AI conferences with open-source prototypes tested in production.

The long game: resilient infrastructure for emerging markets, where reliability and cost both matter, with the research feeding Cuesoft and a group that bridges academia and industry.

Credentials

University of North Dakota
PhD, Computer Science, From Aug 2026
AI-driven methods for infrastructure reliability
Nexford University
MBA, Aug 2023 – Jul 2025
International business, e-commerce and AI
University of Ibadan
BSc, Computer Science, May 2014 – Feb 2018
Udacity
AI Programming with Python Nanodegree, Apr 2021 – May 2021

LLM Engineering: Master AI, Large Language Models and Agents
GitHub Copilot
Management Essentials
Agile Foundations

The toolbox. The daily drivers.

Distributed systems and reliability

Kubernetes
Terraform
ArgoCD
OpenTelemetry
Datadog
Prometheus
PagerDuty
SLOs

Cloud infrastructure

AWS
Google Cloud
Docker
GitHub Actions
CircleCI
Linux
Helm
GitOps

Languages

Go
TypeScript
Node.js
Python
JavaScript
Bash

Data and streaming

PostgreSQL
Redis
MongoDB
MySQL
Kafka

Web and product

Next.js
React
Firebase
Flutter

Developer tooling

GitLab
Homebrew

Built in the open. Code that can be checked, not claimed.

Author

agent-sync

One memory, every agent: a single-file POSIX sh CLI that keeps 17 AI coding agents reading one synthesized memory file. Zero dependencies, checksum-verified installer, Homebrew tap, releases with signed provenance.

POSIX sh
Homebrew
GitHub Actions

View source →

Core contributor, 2019 to 2021

OneUptime

Open-source observability platform. Built real-time alerting infrastructure, monitoring probes and the server-monitor daemon.

Node.js
MongoDB

View source →

Maintainer

oss-engineering-standards

The engineering standard the CueLABS™ portfolio is built to: the catalog, shared templates and a dependency-free manifest CLI that coding agents use to bootstrap and standardize repos.