Nigini Oliveira
Woker Member at University of Washington
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolNigini Oliveira is a researcher-engineer with 14 years of experience blending human-computer interaction research and production-grade software engineering, currently based in Seattle. She holds a Ph.D. in Computer Science and focuses on cross-cultural collaborative systems, community-driven experiment platforms, and improving large-scale online study robustness. At the University of Washington she has led LabintheWild research and taught prototyping studios, while contributing backend features to notable open-source projects like the PyBossa crowdsourcing framework. Her work bridges rigorous academic methods and applied backend development, from database and API design to task scheduling for microtask platforms. Passionate about the decentralized web and social computing, she brings a rare combination of field-tested research on cultural adoption and hands-on DWeb engineering.
14 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Universidade Federal de Campina Grande
English, Spanish, Portuguese
Stackoverflow
474reputation
39kreached
10answers
12questions
Github Skills (23)
python10
databases10
flask-ask10
flask10
database10
api-design9
restful-api9
crowdsourcing9
api-rest9
open-source9
rest-api9
model-view-controller8
sqlalchemy8
javascript7
template-engine7
Programming languages (11)
Github contributions (5)
Scifabric/pybossa
Jan 2012 - Aug 2012
PYBOSSA is the ultimate crowdsourcing framework (aka microtasking) to analyze or enrich data that can't be processed by machines alone.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:15 commits in 6 months
Contributions summary:Nigini primarily contributed to the back-end logic and structure of the PyBOSSA framework. They implemented features related to application management, user profiles, and task scheduling, modifying the `web.py`, `model.py`, and `applications.py` files. Their work involved database interactions, API design, and the integration of new functionalities within the application. They also updated templates and added functionality for incremental task scheduling.
pybossacrowdsourcingpythoncitizensciencescience
labinthewild/LITW-study-templates
Jan 2023 - Feb 2026
Some code examples on how to implement a LITW study.
Contributions:7 PRs, 42 pushes, 7 branches in 3 years 2 months
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