My Skills
My Expertise
- Python
- PyTorch
- Computer Vision
- Machine Learning
- App Development
- Flutter
- Dart
- Node.js
- Docker
- Terraform
- AWS Lambda
- NestJS
- Golang
- Retrieval Augmented Generation
- LLM Prompt Engineering
- neo4j
- Casandra
- Amazon DynamoDB
- MS Azure
- DigitalOcean
- Microservice
- DigitalOcean
- MySQL
- MidJourney
- Kubernetes
- Websockets
- GraphQL
- Pinecone
- Rest API
- Langchain
- AGILE Work Flow - SCRUM
About
About Me
I'm an AI expert with a focus on large language models (LLMs), computer vision, and retrieval-augmented generation (RAG) networks. Skilled in Python, Neo4j, and knowledge graphs, I contribute to major open-source machine learning models like TensorFlow, PyTorch, and Ivy.
With over 6 years of experience and a background in backend engineering, data structures, and algorithms, I graduated with Distinction in MSc Artificial Intelligence from the University of Surrey, UK.
I'm also proud to have a top 10 repository on GitHub in ML/AI, demonstrating my commitment to advancing the field and sharing knowledge with the community.
Watermark removal
The goal of this project was to create a machine learning-based tool that can remove watermarks from images seamlessly, such that the resulting image appears as though it was never watermarked. The project's success can be quantified by its reception in the open-source community, where it has garnered over 1.3k stars on GitHub. This popularity reflects the tool's effectiveness and its recognition as a valuable asset for image-processing tasks.
View In Github
FinTech Wise App
A mobile application developed using Flutter, specifically tailored for small and medium-sized enterprises (SMEs) in the e-commerce sector, offering a comprehensive fintech solution for efficient payment management and enhanced customer interaction.
View In Github
FPL Sports APP
I led the development of a Flutter-based mobile app offering real-time statistics for Fantasy Premier League enthusiasts, implementing a monolithic, event-driven backend architecture using Node.js, with scheduled cron jobs for external API integration and web scrapping. Also spearheaded the deployment process using Docker, orchestrating a CI/CD pipeline through Terraform and GitHub, while remotely managing a team of UI designers and front/backend engineers.
View In Playstore
Race Detection App
This kernel involves using a Pretrained RetinaNet Model and fine-tuning it to classify and detect (to draw a bounding box around the object of a specific race) different Races such as Mongoloid, Negroid and Caucasian. This project was featured on Career Karma
View In Github
Data Structures and Algorithms Tutorial
A coding Tutor on Data Structures and Algorithm. Data Structures and Algorithms (DSA) is the foundation for successful software engineering careers
View In Youtube
Generate Proposal
Elevate your Freelancing game with AI Powered Proposal Generator No more staring at a blank page, trying to come up with the perfect words. With just a few clicks, you can impress potential clients and increase your chances of landing the gig.
View In Chrome Webstore
Client Feedback
Second time hiring Okafor, excellent software engineer, technical in both front and backend. Highly recommended!
Okafor is a efficient, highly effective and constructive programmer. He goes the extra step to get the work done well. He successfully built a platform's backend and built the AI system for our application.