Programming languages
- Python
- TypeScript
- JavaScript
- C++
Hi, my name is
Michael Ogunjimi.
Full-Stack Software Engineer
Full-stack software engineer with hands-on experience building products and distributed, event-driven systems using modern web and backend technologies.
About
A little context behind the code.
Focused on reliable, testable backend services and production-minded patterns including idempotency, rate limiting, retries, and dead-letter queues.
Full-stack software engineer with hands-on experience building products and distributed, event-driven systems in Python and C++ using Celery, Redis, PostgreSQL, Docker, and modern API frameworks.
Strong academic foundation in artificial intelligence, distributed computing, and cognitive robotics, with a particular interest in mission-critical and semi-autonomous systems.
Core skills
The capabilities most central to how I build full-stack products and reliable systems.
Frontend
- React
- Next.js
- Tailwind CSS
- TanStack Query
Backend & data
- FastAPI
- Celery
- PostgreSQL
- Redis
Infrastructure & delivery
- Docker
- Git
- GitHub Actions
- CI/CD
Experience
Where I have applied research and engineering in practice.
June 2023 — September 2023
Research Assistant
Manchester Metropolitan University · Manchester, UKContributed to backend data pipeline development and ML modelling for environmental research, improving data throughput and forecasting accuracy across air quality monitoring systems.
- 01Optimised data processing pipelines through code refactoring and parallel processing techniques, reducing computation time by 35% and enabling researchers to analyse larger datasets on existing hardware.
- 02Built machine learning models in Python and TensorFlow to analyse environmental sensor data, integrating multiple data sources into pollution prediction systems with improved forecasting accuracy.
- 03Maintained and upgraded the research lab's .NET-based backend infrastructure, modernising core components and introducing modular architecture patterns to improve reliability.
Education
The academic grounding behind my work.
September 2024 — August 2025
Postgraduate Diploma in Artificial Intelligence
The University of Manchester
September 2020 — July 2024
Bachelor of Science in Computer Science
Manchester Metropolitan University
First ClassSelected projects
Three selected projects across distributed systems, full-stack engineering, and applied AI.
010203
View all projects Distributed systems
Event-Driven Notification System
Event-driven notification platform built with Python, FastAPI, Celery, Redis, PostgreSQL, and Docker. Designed for high reliability with idempotency, retry logic, dead-letter queues, and horizontal scalability.
- Python
- FastAPI
- Celery
- PostgreSQL
- Redis
- Docker
Full-stack SaaS
JobClock — Full-Stack Job Search SaaS
Full-stack job search SaaS with multi-source job aggregation, Chrome extension, AI CV tailoring pipeline, and interview intelligence features.
Applied NLP
Fuzzy Text Summarisation System
NLP summarisation system using fuzzy logic, transformer embeddings, Flask API, and React frontend, evaluated with ROUGE against traditional methods.