About me

I'm a Software Engineer at Microsoft, currently working at PowerApps. Focusing on front-end development and accessibility.

I have a PhD in Computer Science from Texas A&M University-College Station, advised by Dr. Frank Shipman. I'm a passionate coder with research interests on Computer Vision, CHI, Machine Learning and Digital Libraries. During my PhD I had the opportunity to do an internship at Google, working with machine learning and user modeling.

I obtained my Bachelor of Science degree in Computer Engineering from University of Pernambuco, Brazil. Before starting my PhD, I worked 2 years as a Software Engineering, mainly with .Net technologies and web application development. During this time, I was responsible for developing the software used on the first solar energy auction in Brazil. Prior to that, I was a SDE intern for 10 months, working with interactive projections and e-commerce platforms.

Resume

Education

BS in Computer Engineering

University of Pernambuco, Recife-PE, Brazil. December 2012

PhD in Computer Science

Texas A&M University, College Station, Texas. August 2018

Work

Software Engineer

Microsoft, Bellevue, WA, Fall 2018 - Current

Part of the Common Data Services experiences team. Working with React and Typescript to develop UIs where users can create and manage their data models to be used in PowerApps. Accessibility champion for the team, responsible for making sure that all our experiences are compliant with current accessibility standards.

PhD Software Engineer Intern

Google, Los Angeles, CA, Summer 2017

Intern for TV Lift, part of the Brand Lift team, working with user modeling and prediction models. Brand Lift team measures the impact of marketing campaigns along different stages of the consumer journey.

Teaching Fellow

Texas A&M University, College Station, TX, Fall 2017 – Spring 2018

Primary instructor for the undergraduate course CSCE 111-Introduction to Computer Science Concepts and Programming of the Computer Science and Engineering department.

Graduate Research Assistant

Texas A&M University, College Station, TX, Fall 2016 & Spring 2017

Working with text mining and topic modeling on the NovelTM project.

Graduate Teaching Assistant

Texas A&M University, College Station, TX, January 2015 – May 2016

TA for the CSE undergraduate course CSCE 221: Data Structures and Algorithms. Performing lab lectures, creating and grading assignments and exams. The course is most focused on how to use and implement some of the main data structures, like Linked Lists, Queues, Binary Trees, etc.

Software Engineer

Suati, Recife-PE, Brazil, February 2012 – June 2014

As technical leader of a project, designed and implemented websites using ASP.Net, JavaScript and SQL Server; developed unit testing cases; specified new features for the systems; created and maintained project documentations.

Research

Previous projects

  • Automatic Sign Language classification
    On this project we aim to automatically classify and identify different kinds of Sing Language (American Sign Language, British Sign Language, etc.) on videos shared online. We use computer vision techniques to extract visual features from the videos and machine learning algorithms to distinguish between SL and non-SL videos.
  • SLaDL - Sign Language Digital Library
    Development of a digital library to aggregate videos in sign language posted online. This project will incorporate our current automatic sign language classifier with user feedback to constantly grow and improve the library video corpus.
  • Anti-Collision mechanisms on swarm robots coordination
    Use of Particle Swarm Optimization to avoid collisions between robots of a swarm and the surrounding environment.
  • Adaptive wavelength assignment on optical networks
    Use of Particle Swarm Optimization based mechanism for optimizing wavelength assignment on optical networks.

Publications

Skills

Languages

SW Dev. Tools

Collaboration Tools


Database

Operating Systems

Creative


Techniques

Miscellaneous

Open Source projects

  • Plant Stem Cross Section Image Processing
    Open source software to be used by agriculture specialists to automatically quantify white areas inside plant stems based on cross section images. Implemented using .Net Framework and EmguCV.

Awards

  • IEEE MIPR 2018 Best paper award
    Miami, FL, April 2018
  • CSE Department Travel Grant
    Texas A&M University, March 2016
  • Scholarship for Academic Internship
    Texas A&M University, 2011

Leadership

  • Professional Development Officer
    Comp. Science Grad. Student Association (CSEGSA), TAMU, 2016
  • IT Officer/Webmaster
    Brazilian Students Association (BRSA), Texas A&M University, 2014-2015

Volunteer

  • Volunteer Judge
    Texas Junior Academy of Science, Texas A&M University, October 2015

Timeline

  • Fall 2018

    Software Engineer at Microsoft

  • Summer 2017

    PhD Software Engineer Intern at Google

  • Summer 2018

    Obtained Computer Science PhD degree from Texas A&M University

  • Fall 2014

    Started Computer Science PhD at Texas A&M University

  • Fall 2012

    Obtained Computer Engineer bachelor degree from University of Pernambuco

  • 2012 - 2014

    Software Engineer at Suati

  • Fall 2011

    Academic internship at Texas A&M University

  • 2010 - 2011

    SDE Intern at CommentLab

  • 2008

    Started undergraduate studies as a Computer Engineering major at University of Pernambuco

Contact me

Email
caioduarte.diniz@gmail.com

Linkedin
https://www.linkedin.com/in/caioduartediniz

Facebook
https://www.facebook.com/caioduarte.diniz