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Hi, my name is

Tobi Omorubore.

I build for mobile & web.

A software engineer 👨🏽‍💻 who builds exceptional digital experiences. Currently, I’m focused on building Postcode-NG, a solution that makes it easy to look up Nigeria postcodes by states, city, town/village, or street. In my spare time 👉🏽 Practising to get better at building AI features into Apps.

About Me

Hello! My name is Tobi. I enjoy creating things that live on the internet, building high perfomant mobile and web apps!

I’ve had the privilege of building mobile apps for veriety of clients on Fiverr and Upwork. Delivered custom softwares tailored to business needs during my time with Zinox technology and Collaction. My main focus these days is working with the team at DataFidelity, building POSTCODE-NG.

Here are a few technologies I’ve mastered:

  • Flutter
  • Java
  • Spring-boot
  • HTML/CSS/JS
  • Python
  • SQL/No-SQL
  • Node.js
  • React.js
  • Vue.js
  • Kotlin
  • PHP laravel
Headshot

Where I’ve Worked

Software Engineer @ Data Fidelity

August 2023 - Present

  • Built an ETL process. Extract data from multiple sources, transform and make available for Analysis, Visualization & Report.
  • Built Backend API which serves as gateway to query the database.
  • Quartz + Logstash + Rufus for scheduling background jobs.
  • Built services to encode, decode and transform GeoJSON data.
  • Unit/Integration test, error handling, secure-Auth & documentation.
  • Built Postcode lookup website by Implementing UI designs.
  • TOOLS: MySQL, SpringBatch, SpringBoot, Elasticsearch, Docker, Java, PHP, Vue, OpenApi, Bootstrap, SASS, JQuery.

Some Things I’ve Built

Other Noteworthy Projects

  • Folder

    My Portfolio website

    Built this particular website to showcase projects I have worked-on, skills and experience in software development.

    • ReactJs
    • GatsbyJs
    • HTML
    • CSS
    • JS
  • Button Simple

    An app that allows Care givers to communicate with their aged parents.

    • Flutter
    • RiverPod
    • Firebase
  • Dry-Beans Data Analysis

    Given a dry bean dataset, I developed a system for automatic detection of 7 types of dry bean seeds. Used K-Nearest Neighbour(KNN) and Support Vector Machine(SVM) for the analysis. With performance measured. See finished work.

    • SkLearn
    • Python
    • Conda
    • KNN-SVM
  • Travel Crew

    A mobile app allows friends to share and organize travel plans and even create full itineraries together. Available on play-store

    • Dart
    • Provider
    • MVC
    • Dio
    • Firebase
  • Folder

    Headless Image MicroService

    backend with support for Rest and GraghQL endpoints, that a client can integrate to fetch image from multiple sources. E.g Upload, from-Instagram, Unsplash, Pexels, downloads-from-external-source. To try or test, send me a request mail.

    • FastApi
    • AWS-S3
    • MySQL
    • GraphQL
  • Algorithm and CS Playground

    At my leisure I practice/solve Hacker-rank, and CodeSignal questions. In this repo, I put my practise code on Data structures(DS), Algorithms, maths, design patterns and more.

    • Java
    • Algorithm
    • Patterns
    • DS

What’s Next?

Get In Touch

I’m currently looking for new job opportunities, be it full-time, or contract. My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to quickly get back to you!