Cloud, DevOps & MLOps Engineer building open-source LLM tools, AI-powered developer utilities, and serverless AWS platforms. Currently transitioning into MLOps at Learn2Earn — shipping production-grade infrastructure from Nigeria.
Open-source LLM tools, AI-powered utilities, cloud infrastructure, and real products — built and shipped from Nigeria.
An open-source, multi-language LLM debugging CLI with SDKs for Go, Python, and Node.js. Keyless by design — routes through a self-hosted n8n gateway with local-first Ollama fallback. Supports pipe input, run-wrapping, and language-agnostic traceback capture.
A web-based AI-powered debugger for programming errors. Supports Python, Go, JavaScript, Java, C, and C++ — powered by n8n routing across 9 LLM providers. Rust & TypeScript coming soon.
A Nigerian news and media platform built on Astro with Decap CMS and Cloudflare Pages. Features auth modal, push notification service worker, and production-grade CMS configuration.
A self-hosted n8n workflow gateway for enterprise AI — routes requests across multiple LLM providers with privacy-first architecture, fallback chains, and zero vendor lock-in.
Machine learning internship projects covering regression, classification, and clustering — end-to-end with data preprocessing, model training, evaluation, and visualisation.
A full-featured SaaS that connects job seekers with international opportunities and auto-generates ATS-optimised resumes for every application — built on serverless AWS.
A self-hosted Platform-as-a-Service using Kubernetes, Helm charts, and Terraform — giving developers a Heroku-like deployment experience on bare-metal AWS EC2.
AWS tutorials, MLOps write-ups, open-source LLM builds, and cloud engineering deep-dives.
How I designed a language-agnostic debugging CLI with Go, multi-SDK support, local-first Ollama fallback, and a self-hosted n8n gateway — no API key on the client.
How I built an AI debugger for Python, Go, JavaScript, Java, C, and C++ using n8n as a multi-provider webhook gateway with zero vendor lock-in.
How I designed and deployed a multi-tenant SaaS with Lambda, API Gateway, DynamoDB, and S3 — including the resume generation engine and job-matching algorithm.
What MLOps really means for a DevOps engineer — model versioning, pipeline automation, monitoring drift, and the tools I'm picking up at Learn2Earn.
Terraform state management, modules, workspaces, and remote backends on AWS S3 with DynamoDB locking — from beginner to intermediate.
Setting up a production-ready Ubuntu server — UFW rules, user group policies, cron jobs, and real-time system monitoring from scratch.
Cloud, DevOps, MLOps, and LLM engineering — the tools I build and ship with daily.
I'm Oluwadare Tobi Jayeola — a Cloud, DevOps & MLOps Engineer based in Ado-Ekiti, Nigeria. I build open-source LLM tools, AI-powered developer utilities, and production-ready AWS infrastructure. From dare (a keyless LLM debugging CLI) to Debugmate (a multi-provider AI error debugger) and TownScribe (a Nigerian news platform) — I ship real products that solve real problems.
Currently transitioning into MLOps at Learn2Earn, expanding my expertise in ML pipeline automation, model serving, and LLM gateway design. Open to remote roles, internships, and exciting collaborations worldwide.
Open to remote opportunities, MLOps roles, internships, freelance cloud projects, and open-source collaborations.
Actively looking for remote roles in Cloud Engineering, DevOps, and MLOps. Also open to open-source collaborations and freelance infrastructure projects.