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Samuel Wasswa

Work experience

Oct 2018Sept 2019

Learning Facilitator/Technical Coordinator

Andela
  • Mentored Software Developers to improve their technical skills and learn new  technologies. 
  • Designed and operationalized learning programs and curriculum for Software Developers.
Jan May 2018

Machine Learning Engineer

SemanticMD

AI for TB Project

  • Developed a deep learning model that utilizes Convolutional Neural Networks to identify digital Chest X-rays that have  Pulmonary Tuberculosis.
MayAugust 2017

Software Engineer, Intern

AboveLine LLC

Xemana  Application

  • Designed and Implemented GraphQL Backend for React Native based Mobile App.
  • Redesigned the GraphQL Backend Code generation tool to improve code readability and fix critical bugs.
Nov 2014Jan 2016

Software Engineer

MWH-Trust
  • Designed and developed SMS Module for Farmer Information System.
  • Implemented comprehensive unit tests for Farmer Information System’s web application.

Education

20162018

MSc in Information Technology

Carnegie Mellon University Africa

Graduate Coursework: Foundations of Software Engineering; Data and Inference; Data Analytics; Applied Machine Learning; Deep Learning

20102014

BSc in Computer Science

Makerere University

Undergraduate Coursework: Data Structures and Algorithms; Object Oriented Programming with Java and Python; Logic Programming; Linear Programming

Languages and Technologies

Java(Prior Experience); Javascript(Proficient); Python(Proficient); PHP(Proficient); Ruby(Expert); Elixir(Proficient).

React, React Native, GraphQL, Rails, Phoenix/Elixir.

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Technical Experience

  • SemanticMD ( 2018 ) : AI for TB: Developing a ConvNet algorithm that can identify Chest X-Rays with Pulmonary Tuberculosis. Deploying algorithm on RaspBerry Pi. Utilized: Keras,Tensorflow,Python, Scrum.
  • FADIS ( 2014 – 2016 ): Farmer Driven Information System – Web and Mobile Based System for enabling farmer organisations monitor, forecast and manage crop production. Utilized: CakePHP, Vagrant, Docker, Bower, Grunt Amazon Web Services, Git, JIRA, Scrum/Kanban. 
  • EDURAAS (2014):  Education Automated Resource Allocation System - Web and Mobile Based System to help Ministry of Education in Uganda collect information from schools about the resources needed. Utilized:Ruby/Rails, OpenXData