Julia Remus

Physics engineer and master student in computer science at UFRGS. With a strong background in mathematics, statistics and physics, I am currently specializing in signal analysis with learning and classical statistical methods.
I have experience working with multi disciplined teams, being responsible for data analysis and software development.

• Ongoing Master in Computer Science - UFRGS, 2023

  • Accepted article on IEEE MeMeA 2024: "An End-to-End RoI-Based Encoder-Decoder for Fetal ECG Recovery and QRS Complex Detection"

• Physics Engineering - UFRGS, 2018 - 2023

  • Final Project: Using Convolutional Neural Networks for Classification of Anomalies in Metal Wires from Magnetic Particle Inspection Images (Uso de redes neurais de convolução para classificação de anomalias em arames metálicos a partir de imagens de inspeção por partícula magnética)
  • Enfitec Jr: applied physics research and development voluntary project
  • Scholarship holder at the nanoscale forming laboratory (LCN - UFRGS)
  • Student representation in the Physics Engineering Student Center (CEENF)


• Technical high school education in viticulture and enology - IFRS, 2015 - 2018

• Poatek

Currently working in the Poatek Experience Intership.
• REVERO

I worked as a project manager and full stack developer. Projects involved mongoDB pipeline optimization, software development (using Node JS and React JS) and structure.


• SIMEROS

This experience improved my ability to work in diverse teams and to do project management. Also improved my experience with Git, Python, SQL, influxDB, Node JS, HTML and CSS.


• Data Analyst, 2022 - November 2023 and Data Science Intern, August 2020 - 2021;

Data visualization, data pipelines improvement and data analysis in the engineering field.
Another area of work was software development. As a focal point in internal systems development for process control and standardization. Especially during the ISO certificate campaign where it was built from zero different applications; furthermore, all product cycle (idealization, database construction, app development and client training and validation) were performed.


• Engineering Intern, 2021 - 2022:

Research and development in permeation analysis, script development, model validation with real tests.

• Strong background in mathematics and physics

• Software project management:

  • GitHub (+3 years of experience);

• Full Stack developer:

  • Node JS (+3 years of experience);
  • HTML and CSS (+3 years of experience);
  • React JS (intermediate);
  • Typescript (intermediate);
  • SQL (+3 years of experience);
  • MongoDB (intermediate);
  • Docker (intermediate);

• Data analysis and pipelines:

  • Python (+3 years of experience);
  • influxDB (1 year of experience);
  • Grafana (1 year of experience);

• Machine Learning:

• Tensorflow.

• Languages

  • Portuguese - native
  • English - professional

Contact Information