Manoel Marques

New York, United States

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Summary

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Rockstar

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Top School

Manoel Marques is a seasoned software engineer based in New York with nine years of experience building and leading application development in Web 2.0, mobile computing, and enterprise content management. He is fluent in Python, Java, Swift/Objective-C, C++, and JavaScript and comfortable across iOS and Android stacks as well as major IDEs like Xcode and PyCharm. Manoel has made substantive back-end and test-automation contributions to the prominent open-source Qiskit ecosystem, improving optimizers, refactoring tooling, and hardening unit tests for quantum computing libraries. His work often focuses on code quality, dependency management, and practical ML model features—skills reflected in fixes to linting, recursive dependency lookups, and QSVM enhancements. Drawing on an electronics engineering background and a master's in computer science, he blends low-level rigor with application-level product thinking. Notably, he frequently operates behind the scenes to keep complex scientific codebases maintainable and up-to-date with evolving APIs.

9 years of coding experience

Pontifical Catholic University of Rio de Janeiro

Bachelor, Electronic Engineering, Bachelor, Electronic Engineering at Universidade Federal do Rio de Janeiro

French, Portuguese, English

Stackoverflow

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Github Skills (29)

algorithm10

dependency-management10

unit-testing10

quantum-chemistry10

learn-ruby-on-rails10

python10

optimizers10

scikit10

testing10

user-manual10

codelist10

machine-learning10

basics10

lint10

optimisation10

Programming languages (8)

OpenQASMC++RustGoSwiftHTMLJupyter NotebookPython

Github contributions (5)

qiskit-community/qiskit-nature

Jan 2019 - Jan 2023

Qiskit Nature is an open-source, quantum computing, framework for solving quantum mechanical natural science problems.

Role in this project:

Back-end Developer

Contributions:18 releases, 236 reviews, 475 commits in 4 years

Contributions summary:Manoel's commits focused on refactoring the codebase, specifically changing imports from `qiskit_aqua` to `qiskit.aqua`. These changes involved updating multiple files across the `qiskit/chemistry` directory, demonstrating a solid understanding of the project's structure and dependencies. Furthermore, the refactoring of common parser code and dependency section to UCCSD configuration indicates work on improving the overall quality and usability of the library.

qiskitquantum-computing

qiskit-community/qiskit-community-tutorials

Jan 2019 - Oct 2020

A collection of Jupyter notebooks developed by the community showing how to use Qiskit

Role in this project:

Backend Developer

Contributions:42 commits, 7 PRs, 1 comment in 1 year 9 months

Contributions summary:Manoel contributed to the Qiskit community tutorials by modifying several Jupyter notebooks to ensure compatibility with the Terra framework. These changes include updating code related to noise simulation, measurement error mitigation, quantum chemistry, quantum machine learning, and variational quantum eigensolver algorithms. The updates involved adjusting parameters, importing necessary modules, and adapting to changes in the underlying Qiskit API.

jupyter-notebookqiskit

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