Python Developer in Stockholm, Sweden

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.

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.

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.

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.