João Abreu

Software Engineer

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👨‍💻 About Me

I'm a Software Engineer at Flutter Entertainment (Blip.pt), contributing to high-traffic sports betting products behind Paddy Power, Betfair, and Sky Bet: the leading brands in the UK&I market.

Beyond engineering, I'm passionate about sports and fitness, particularly running. Here's a photo of me completing the 2025 Porto Marathon, achieving a personal best time of 2:58:11.

João Abreu

📚 Experience & Education

Dec 2024 - Present

Software Engineer

Flutter Entertainment (Blip.pt)

Java Kafka Cassandra Kubernetes
Jun 2023 - Dec 2024

Junior Software Engineer

Flutter Entertainment (Blip.pt)

Java Spring Boot ElasticSearch Grafana
Sep 2022 - Jun 2023

Intern Software Engineer

Flutter Entertainment (Blip.pt)

Java Spring Boot MySQL Docker
Jul 2021 - Aug 2021

Intern Software Engineer

Yari Labs

TypeScript Blockchain Node.js
Sep 2017 - Dec 2022

Master's in Informatics Engineering

University of Minho

Python PyTorch Machine Learning Deep Learning

Resume

View my full resume and professional background

⚙️ Technology Stack

Languages

Java Python Scala C/C++ SQL JavaScript HTML/CSS

Frameworks & Platforms

Spring Boot Apache Kafka GraphQL PyTorch Numpy

Databases & Storage

MySQL Postgres Cassandra Elasticsearch

DevOps & Tools

Docker Git Jenkins IntelliJ Wiremock Splunk Grafana Sensu Postman

📖 Master's Thesis

Development of DNA Sequence Classifiers Based on Deep Learning

Master's Thesis in Informatics Engineering

Supervisors

Prof. Miguel Rocha • Óscar Dias

Institution

University of Minho, Department of Informatics

Abstract

This research explores the application of deep learning techniques for DNA sequence classification. The work focuses on developing and evaluating various neural network architectures, including CNNs, RNNs, and Transformers, for genomic data analysis. The study demonstrates significant improvements in classification accuracy compared to traditional machine learning approaches, contributing to the advancing field of bioinformatics.

Python PyTorch NumPy Scikit-learn Deep Learning CNNs Bioinformatics

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