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💫 About Me:

Hello there!

My name is Phillip-Hope Ojo and I am a full-stack software engineer with over five years of experience in software development and deployment.

I have a strong understanding of the technologies used in each stage of the development process and a background in cloud computing, which helps me deliver with distributed systems.

I am skilled in Golang, JavaScript/TypeScript, Next.js, React, as well as MongoDB and PostgreSQL databases.

Ask me about Software development and SaaS.

Fun fact: I have worked with multiple globally diverse teams, and I am always open to collaboration to build solutions that meet business and customer needs.

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💻 Tech Stack:

Go JavaScript TypeScript Python Cloudflare AWS Azure Vercel Netlify Bootstrap Chakra Chart.js Django DjangoREST Express.js NPM Next JS NodeJS p5js React Socket.io SASS Redux React Router Vue.js Yarn Nginx Postgres Redis MongoDB LINUX Docker Swagger

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Phillip-Hope Kọláwọlé Òjó's Projects

build-your-own-x icon build-your-own-x

Master programming by recreating your favorite technologies from scratch.

developer-roadmap icon developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

devops-boxset icon devops-boxset

This contains starter codes for the most popular DevOps tools

ds-algo-fork icon ds-algo-fork

This repository contains codes for various data structures and algorithms in C, C++, Java, Python, C#, Go, JavaScript, PHP, Kotlin and Scala

js-backend icon js-backend

This sets up a backend system for Typescript, Hono, Bun, Pino, Postgres, MongoDB, OpenTelemetry and Biome

komiser icon komiser

Build your cloud asset inventory and break down your cost at the resource level 💰

ml-k-means-project-2 icon ml-k-means-project-2

Using k-Means to cluster shopping mall data to predict which customer set they should focus on

ml-knn-a icon ml-knn-a

KNN algorithm to classify the Telecom Customers data set. This predicts customer churn

ml-knn-bwork icon ml-knn-bwork

KNN algorithm to predict Loan Defaulters from previous data and determine if to loan new individuals money based on the prediction

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