SYSTEM_INIT > LOADING_PROFILE

AYOBAMI PAUL

SOFTWARE_ENGINEER.class
> A software engineer passionate about PYTHON_

> Building systems that scale, one optimization at a time.

> Software engineer reducing load times and finding vulnerabilities.

SECTION_02 > ABOUT_ME

PROFILE_DATA

BIO_INFO

>Software engineer building scalable systems
>Reduced LMS bundle size by 30% by migrating from Redux to React Query at Techspertise
>Built microservices digital wallet with Kafka and PostgreSQL handling distributed transactions
>Researching bias in face recognition models using SHAP and LIME for MSc thesis
>Currently exploring server-side rendering optimization in Next.js 15
>Strong advocate for writing readable, maintainable code and comprehensive documentation

SKILLS

Languages:
TypeScriptPythonJava
Frontend:
ReactNext.jsTailwind CSS
Backend:
FastAPISpring BootPostgreSQL
Tools:
DockerGitReact QueryKafka
Exploring:
RustWebAssemblytRPC
SECTION_03 > SERVICES

WHAT_I_DO

Web Development

Full-stack web applications with modern frameworks and best practices

ReactNext.jsNode.jsTypeScript

AI/ML Solutions

Machine learning models and AI-powered applications for business automation

PythonTensorFlowNLPComputer Vision

Backend Systems

Scalable APIs, microservices, and database architecture design

FastAPIPostgreSQLRedisDocker
SECTION_04 > PROJECTS

ACTIVE_DEPLOYMENTS

PROJECT_01

Social Distance Monitor

AI-Powered Safety Solution

OPERATIONAL

A platform designed to monitor social distancing in real-time using computer vision techniques.

PYTHONOPEN-CVFLASKMLYOLOv8
VIEW_PROJECT
PROJECT_02

Digital Wallet

Microservices Architecture

IN_DEVELOPMENT

Built a distributed transaction system using Saga pattern with Spring Boot, Kafka, and PostgreSQL. Handles 500+ transactions/second with eventual consistency.

JAVASPRINGBOOTDOCKERKAFKAPOSTGRESQL
VIEW_PROJECT
PROJECT_03

Face Recognition Fairness

ML Bias Analysis

IN_DEVELOPMENT

Evaluating demographic bias in FaceNet using SHAP and LIME. Research project analyzing fairness across 10,000+ images for MSc thesis.

PYTHONTENSORFLOWSHAPLIMEJUPYTER
VIEW_PROJECT
PROJECT_04

BrandNest

AI Branding Snippets Generator

OPERATIONAL

An AI-powered branding snippets generator that creates branding content and keywords based on user input. Built with Python, Groq AI, Next.js, TypeScript, and React.

PYTHONGROQ_AINEXT.JSTYPESCRIPTREACT
VIEW_PROJECT
PROJECT_05

Excite Trade

Agricultural Platform

OPERATIONAL

A platform designed to digitize information sharing among agricultural stakeholders, facilitating seamless communication from farmers to intermediaries.

NEXT.JSTYPESCRIPTTAILWIND_CSS
VIEW_PROJECT
SECTION_05 > CONTACT

INITIALIZE_CONNECTION

> Ready to collaborate on your next project?