Software Engineer based in UK 🇬🇧.

I see every day as an opportunity to get better at building world-class backend systems 🌍, systems designed to scale under pressure, stay resilient, and earn trust through consistency.

Here I share thoughts on backend engineering, AI, and system design, plus lessons learned while taking software from localhost/127.0.0.1 all the way to production and keeping it alive there.

• 🧠 Backend engineer first, AI engineer when it actually adds value
• ⚙️ I’m intentional about building systems that scale predictably, expose their weaknesses early, and are easy to reason about in production
• 🚀 Have worked on platforms processing 5M+ transactions monthly
• 🤝 Led teams, reviewed PRs, shipped under pressure, still enjoy the work
• ❤️ Drawn to fintech, accessibility tech, and education platforms

• Build scalable backend systems with ASP.NET Core and .NET
• Design clean APIs that frontend and mobile teams don’t complain about
• Think a lot about data models, transactions, and edge cases
• Comfortable with microservices, but not religious about them
• Prefer boring, well-tested solutions over flashy ones that page you at night

• FastAPI & Flask for fast, clean, no-nonsense APIs
• Integrate machine learning models into production systems with proper versioning, monitoring, and operational ownership
• Hands-on with RAG systems, vector search, and model lifecycle management
• Automation, ETL pipelines, background jobs — the stuff that quietly keeps everything alive

Languages C#, Python, SQL, Java

Backend & APIs ASP.NET Core, FastAPI, Flask, Django, CherryPy

Cloud & DevOps Azure AI Services, Azure Machine Learning, Azure DevOps, Docker, CI/CD, Linux

Databases PostgreSQL, MS SQL Server, MySQL, Chroma, PGVector

AI & Data ML integration, predictive analytics, RAG-style systems, model monitoring

A backend-heavy terminal operating system built to improve port logistics and operational visibility. This project is all about scalability, reliability, and clean system boundaries using C# and Python.

An AR-powered assistive system for autistic individuals, focused on emotion recognition and gaze tracking. Built with accessibility and real-world usability in mind, one of my most meaningful projects.

A modern student reporting platform built with Expo (React Native) and FastAPI. Designed for real-time reporting, moderation workflows, and analytics — clean APIs, simple UX.

A deliberately small but powerful email system. No bloat — just clean abstractions, async processing, and extensibility. Built to show how far good system design can go without overengineering.

• 📧 Email: sesaalolu@gmail.com
• 💼 LinkedIn: https://www.linkedin.com/in/akinlolu-adeboye-56499922b/

My engineering hot takes:

• Boring is good in production
• Readable beats clever every time
• Scale is a feature, not an afterthought

I optimise for systems that last, teams that can move fast without fear, and software that does its job without drama.

If you’re building something meaningful and need someone who genuinely enjoys backend work, we’ll probably get along 🤝