Guilherme Caminha, Developer in Stockholm, Sweden
Guilherme is available for hire
Hire Guilherme

Guilherme Caminha

Verified Expert  in Engineering

Python Developer

Stockholm, Sweden
Toptal Member Since
March 27, 2018

Guilherme is a computer engineer who has a passion for solving challenges and building beautiful software. He is a flexible and dynamic developer who has been able to learn new technologies and start building idiomatic code very quickly. He is enthusiastic about elegant solutions and sharing ideas with other people.


Precis Digital
Django, Linux, REST, Kubernetes, Docker, Python
Docker, Linux, C, C++, Python
JavaScript, Python, Linux, REST, Bootstrap, Scikit-learn, Gensim, React, Django




Preferred Environment

JetBrains, Atom, Git, Linux

The most amazing... I've developed was an open-source framework for developing reusable numerical methods for physical simulations.

Work Experience

Senior Software Engineer

2019 - PRESENT
Precis Digital
  • Created the CI stack for the Python services.
  • Configured and maintained Kubernetes clusters.
  • Developed Python services and applications.
Technologies: Django, Linux, REST, Kubernetes, Docker, Python

Scientific Computing Researcher

2014 - PRESENT
  • Enhanced the software process used in the research group by employing scrum techniques such as sprint planning and review, the creation of project backlogs, and more.
  • Developed Elliptic, a type of open-source software for prototyping and developing numerical methods for physical simulations.
  • Selected the software stack used in most projects (Python, MOAB, and Trilinos), and trained the team developers to use it.
  • Explored Python's ability to inter-operate with libraries based on lower level languages, such as C/C++. Helped build PyMOAB, a wrapper for the open-source MOAB library, which uses C/C++ and Fortran.
  • Used Docker to package the developed software so that it is easier to deploy and use. Also trained the team on how Docker works and how to use it.
Technologies: Docker, Linux, C, C++, Python

Software Engineer

2016 - 2016
  • Rebuilt a full website from scratch using Django-CMS. The old website was built on Pelican, therefore Django-CMS brought more interactivity and made it possible to create and edit content more easily and visually.
  • Created a natural language processing tool with Gensim and Scikit-learn for suggesting if a given text is duplicated somewhere else in the database, from its extracted meaning.
  • Built automated software testing suites for Django backends and machine-learning software using pytest.
  • Employed Agile methodology practices on a daily basis.
  • Handled performance optimizations for several CPU-bound procedures on the server. Used Celery as a distributed queue for handling asynchronous CPU-bound tasks.
Technologies: JavaScript, Python, Linux, REST, Bootstrap, Scikit-learn, Gensim, React, Django

Software Engineer

2015 - 2015
  • Built the company's full website using Joomla!, JQuery and Bootstrap.
  • Developed several Joomla extensions for dealing with specific business needs.
  • Worked together with the client to model all the business rules and several requirements for the project.
Technologies: Bootstrap, jQuery, Joomla

The Mesh-Oriented datABase (MOAB) is an open-source library for representing and storing meshes used on physical simulations built with C++.

I helped build the PyMOAB interface, which provides bindings for accessing core functionalities from Python.

AmpliEdu is a project built for the Intel Embedded System Design Invitation Contest, held in China in 2016. The project consists of an embedded system capable of turning any conventional multimedia projector into an interactive, touch-enabled projector.

It used Node.js + Express to handle API requests for the rest of the system. Its image detection algorithms were prototyped with C/C++ and then implemented in an optimized hardware description language (Verilog).

For the project, I was awarded the second place against several dozens of universities around the world.

ELLIPTIc, The ExtensibLe LIbrary for Physical simulaTIons, is a library/framework for prototyping, testing and running large-scale physical simulations.

It is built on top of Python and uses the PyMoab and PyTrilinos libraries to handle the internal mesh data structure, and matrix solving, respectively.

Python User Group Talks

I have done two talks for my regional Python User Group conference:
• Cython: Accelerating your Python
• Building websites with Django-CMS

TCKE was a project for helping visually impaired people to orient themselves when they are inside buildings. One of the main applications was helping while shopping at stores. The system used state-of-the-art IPS (indoor positioning system) technology and was distributed as an Android app.

onDaF Simulator

A simulator for the onDaF german test written in C++ and Qt 4. This project became quite famous among students who were pursuing a proficiency level for student exchange programs.

PedroNeto Hortifruti

An eCommerce for selling agricultural produce built in 2015. It was built from scratch using Django in the back-end and jQuery in the front-end and had automated deploys with Docker.
2016 - 2018

Master's Degree in Scientific Computing

Federal University of Pernambuco - Recife, Brazil

2011 - 2016

Bachelor's Degree in Computer Engineering

Federal University of Pernambuco - Recife, Brazil


React, SQLAlchemy, jQuery, Scikit-learn, MPI, Flask-RESTful


Git, JetBrains, Gensim, Pytest, Redux Thunk, Atom, IntelliJ IDEA


Redux, Django, Flask, Qt, Bootstrap


Python, Python 3, C, Java, JavaScript, C++, Clojure


DevOps, Functional Testing, Unit Testing, Object-oriented Programming (OOP), Functional Programming, REST, Agile Software Development


Docker, Linux, Kubernetes, Joomla


PostgreSQL, MongoDB


APIs, Cython, Open Source

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.


Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring