Agbasimere Kingsley
Full Stack AI Engineer
I design and build intelligent, data-driven systems tailored to your business goals. Using modern AI and machine learning technologies, I develop models, automation tools and web applications that deliver accuracy, speed, and real impact.
Whether you're starting fresh or growing an idea, I create seamless, user-focused experiences — from clean UI/UX to efficient backend systems.
React
Next.js
TypeScript
Node.js
Python
PostgreSQL
GraphQL
Tailwind
Supabase
Prisma
React
Next.js
TypeScript
Node.js
Python
PostgreSQL
GraphQL
Tailwind
Supabase
Prisma
React
Next.js
TypeScript
Node.js
Python
PostgreSQL
GraphQL
Tailwind
Supabase
Prisma
React
Next.js
TypeScript
Node.js
Python
PostgreSQL
GraphQL
Tailwind
Supabase
Prisma
AWS
Docker
Kubernetes
Git
Figma
Vercel
MongoDB
Terraform
Linux
OpenAI
AWS
Docker
Kubernetes
Git
Figma
Vercel
MongoDB
Terraform
Linux
OpenAI
AWS
Docker
Kubernetes
Git
Figma
Vercel
MongoDB
Terraform
Linux
OpenAI
AWS
Docker
Kubernetes
Git
Figma
Vercel
MongoDB
Terraform
Linux
OpenAI
TensorFlow
PyTorch
Scikit-learn
Jupyter
Pandas
NumPy
Keras
Streamlit
Python ML
TensorFlow
PyTorch
Scikit-learn
Jupyter
Pandas
NumPy
Keras
Streamlit
Python ML
TensorFlow
PyTorch
Scikit-learn
Jupyter
Pandas
NumPy
Keras
Streamlit
Python ML
TensorFlow
PyTorch
Scikit-learn
Jupyter
Pandas
NumPy
Keras
Streamlit
Python ML
Featured Projects
View All
"The mother of all demo apps" — Exemplary fullstack Medium.com clone. Multiple frontend/backend implementations, standardized API. Great reference for fullstack patterns and clean UI.
ReactNodeTypeScript+1
Real-time chat app with admin panel. Next.js, Socket.IO, Zustand, Tailwind CSS. Clean modern UI and real-time messaging.
Next.jsSocket.IOTailwind+1
MERN stack social media application. Modern UI with Tailwind, real-time features. Full CRUD and auth flow.
MongoDBExpressReact+2
Clean, fast Next.js portfolio template. MDX, light/dark mode, dynamic OG images, SEO, RSS/Atom/JSON feeds, KaTeX.
Next.jsTailwindMDX+1
Machine learning–powered heart disease prediction app built with Streamlit. Includes data preprocessing, Random Forest model training, and an interactive user interface for making real-time predictions.
PythonStreamlitScikit-learn+2
End-to-end ML project to predict customer churn for a telecom provider (MTN). Covers data cleaning, feature engineering, model training, evaluation, and deployment with Streamlit.
PythonStreamlitMachine Learning+2
Blog
View AllRead Exciting New Features in TypeScript 5.5
Aug 8, 2024
Exciting New Features in TypeScript 5.5
TypeScript 5.5 introduces inferred type predicates, regex syntax checking, array filter improvements, and new Set methods—making code safer and more maintainable.
Read Article
Education
Bachelor of Science in Computer/Statistics
University of Nigeria
Jan 2022 - Dec 2025
Software Eng (Backend)
Alx-Africa
Oct 2023 - 2024
Fundamentals of Deep Learning
Nvidia
Dec 2024
Soft-Skills Training
Jobberman
Oct 2021
Work Experience
Full stack developer
MEVEQ
Freelance Web developer
Self-Employed
ML Researcher
EIU UNN
Software engineer
Alx-Africa
Volunteering
Frontend Instructor
BRIV
Data intern
DGMC Research institute
ML researcher
EIU UNN