Tioluwanimi
Adeagbo.
Backend-focused Python & JavaScript developer building real-world applications, automation tools, and early-stage AI/ML systems — with growing interest in intelligent systems and LLM development.
Building systems that think and scale.
I'm Tioluwanimi Ayomide Adeagbo, a backend-focused developer with strong experience in Python and JavaScript. I build real-world applications, research tools, and automation systems.
Currently, I'm developing my foundation in AI/ML with the goal of contributing to large language models and intelligent systems. I work with deployment tools like Render, Vercel, and Supabase, and I'm expanding my cloud and infrastructure knowledge through Google Cloud.
My approach: write clean, maintainable code, solve real problems, and keep building toward the future of intelligent backend systems.
Tools & Technologies
My current toolkit, built through real projects and continuous learning.
Languages
Frameworks & Libraries
Cloud & Deployment
Specialties
All Technologies
Selected Work
Real projects, real problems solved — from AI tools to church management systems.
backend-spoudazo
AI Academic Operating System Backend
Backend for the AI Academic Operating System — handling authentication, user profiles, course and GPA tracking, study behavior logging, and secure AI integrations. A full-scale backend architecture built for intelligence.
ZELTA
Behavioural Quantitative Intelligence
A behavioural quantitative intelligence project — exploring the intersection of data, behavior patterns, and intelligent analysis. Built with Python as the core engine.
PDF-RESEARCHER-ANALYSER
Intelligent PDF Research Tool
A Python tool for analyzing PDF research documents. Automates the extraction and analysis of academic papers, making research workflows faster and smarter.
scholar_search_app
Google Scholar Research Automation
A Python tool for searching multiple names on Google Scholar and automatically downloading research papers. Saves researchers hours of manual searching.
Fraud_Detection_Group4
ML-Powered Fraud Detection System
A professional fraud detection project developed by AI/ML students of Tech Crush. Applies machine learning models to identify fraudulent patterns in financial data.
What I'm building toward
I believe in showing direction, not just current skills. Here's where I'm heading.
AI / ML Engineering
Building my foundation in machine learning — from classical models to neural networks. Actively working on research tools and early-stage ML projects.
Large Language Models
Exploring how LLMs are built, fine-tuned, and deployed. My long-term goal is to contribute to the development of intelligent language systems.
Cloud Infrastructure (AWS / Azure)
Expanding beyond Render and GCP into enterprise-grade cloud platforms. Learning about scalable infrastructure, managed services, and DevOps practices.
Advanced Backend Architecture
Going deeper into system design — microservices, message queues, caching strategies, and building backends that scale to millions of users.
"I'm not just learning to use AI tools — I'm learning to build them."
The goal is LLM development and intelligent backend infrastructure.
Let's build something great together.
I'm open to backend engineering roles, AI/ML collaborations, freelance projects, and interesting conversations. Don't hesitate to reach out.
Prefer a quick copy?
tolutemitiwa@gmail.com