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Omariba C. Backend, Python and Machine Learning Platforms

My name is Omariba C. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Python, Machine Learning, Flask, SQL, Neural Network, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Spotify Music Rooms Web app, ML Photoshop Application, Restaurant Web App, Open Source Project manipulaion API, Software Developers Salary Prediction Web Application, etc.. I am based in Nairobi, Kenya. I've successfully completed 6 projects while developing at Softaims.

I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.

My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.

I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.

Main technologies

  • Backend, Python and Machine Learning Platforms

    3 years

  • Python

    2 Years

  • Machine Learning

    2 Years

  • Flask

    2 Years

Direct hire

Potentially possible

Previous Company

Safaricom

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Experience Highlights

Spotify Music Rooms Web app

A music collaboration web app that allows users in a virtual room to control music from a single spotify account. It can be used in e.g. parties , It is made using React for the frontend and Django for the backend

ML Photoshop Application

A machine learning web app that uses OpenCV to perform minimal photoshop operations.

Restaurant Web App

Its developed using Django and Django Rest Framework. The live site is made using the django templates while the api is with django rest framework. The authentication for the api endpoints is implemented using djoser and API documentation using drf_spectacular. It uses a postgresql database.

Open Source Project manipulaion API

Projects management and exploring API for savannah Silica(A github organization I co-own)

Software Developers Salary Prediction Web Application

A ml model web application deployed to streamlit , it uses stackoverflow 2022 developer survey data to predict the salary of developers

Education

  • Jomo Kenyatta University of Agriculture and Technology

    Bachelor of Science (BS) in Mechatronic Engineering

    2020-01-01-2025-01-01

Languages

  • English
  • Swahili

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