Daniel Correia
Senior Software Engineer at Zendesk
Lisbon, Portugal
Summary
👤
Senior🎓
Top SchoolDaniel Correia is a Senior Software Engineer based in Lisbon with a decade of experience building reliable, large-scale backend systems across fintech and cloud communications. He has driven performance and correctness improvements—introducing ClickHouse for multi-entity accounting at Translucent and hardening authentication and active-active reliability at Talkdesk while contributing to FedRAMP-aligned controls. Comfortable across languages and stacks (Kotlin, Ruby, Elixir, AWS, Kafka), he often serves as the primary maintainer and technical advisor for critical systems and mentors cross-team knowledge transfer. His master's work applied AI to software engineering at IST, and he brings that research mindset to practice—evidenced by open-source contributions to pyswarms that improved optimization correctness and parallel evaluation. Colleagues rely on him for pragmatic architecture choices that balance performance, observability, and operational safety.
9 years of coding experience
7 years of employment as a software developer
7th/12th School Year Science and Technologies, 7th/12th School Year Science and Technologies at Escola Secundária José Gomes FerreiraMaster's degree Computer Science, Master's degree Computer Science at Instituto Superior Técnico
Portuguese, English
Github Skills (9)
algorithm10
python10
optimization10
numpy9
machine-learning9
multi-process7
python-multiprocessing7
multiprocessing7
testing6
Programming languages (5)
Github contributions (5)
ljvmiranda921/pyswarms
Feb 2019 - Feb 2019
A research toolkit for particle swarm optimization in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 5 PRs, 21 comments in 22 days
Contributions summary:Daniel primarily focused on bug fixes and code refactoring within the `pyswarms` library. Their contributions addressed issues such as duplicate cost function calls and incorrect return values in optimization algorithms. They also introduced a feature for parallel particle evaluation, enhancing the library's performance. The user demonstrated a strong understanding of the library's core optimization logic, including particle swarm optimization (PSO) implementations.
particleoptimization-algorithmspythonswarmglobal-optimization
danielcorreia96/fenixedu-academic
Nov 2017 - Dec 2019
FenixEdu Academic is open source Student Information System
Contributions:176 pushes, 63 branches in 2 years 1 month
reactstudent-information-systemfenixedujavascriptnodejs
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