Jessica Callegaro
Senior Software Engineer at Shopify
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolJessica Callegaro is a Senior Software Engineer with eight years of full‑stack experience, currently building scalable systems at Shopify from Montreal. She has deep experience in research-oriented web platforms, having led development and private-instance stewardship of the neuroinformatics LORIS platform—implementing back-end logic, electrophysiology data pipelines, and deployment workflows for multi-site studies. Comfortable across JavaScript/TypeScript, React/Redux, PHP, Python, SQL and Docker, she bridges front-end UX and complex data processing while collaborating closely with research teams to standardize and validate scientific datasets. Her background in cognitive science informs a pragmatic focus on data integrity and reproducible pipelines, and her contributions to LORIS show an aptitude for maintaining long-lived, domain-specific systems that require careful validation and interoperability.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Cognitive Science, Bachelor's degree, Cognitive Science at McGill University
Github Skills (10)
php10
web-development10
web-application10
webapp10
databases8
neuroscience8
database8
mysql8
data-structure7
data-structures7
Programming languages (7)
Github contributions (5)
aces/Loris
Jun 2018 - Jun 2022
LORIS is a web-accessible database solution for longitudinal multi-site studies.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:66 reviews, 52 commits, 63 PRs in 4 years 1 month
Contributions summary:Jessica primarily contributed to the back-end logic of the LORIS web application. Their work involved adding and modifying functions within core instrument classes to retrieve and manage data related to visits, subprojects, and candidate information. They fixed bugs related to validation and data handling across various modules, including those for login, media uploading, and candidate parameters. The user also addressed inconsistencies in the code, such as return type changes, to maintain the system's integrity.
multi-siteneuroimagingscienceaccessibleloris
jesscall/Loris
Feb 2018 - Jun 2022
LORIS is a web-accessible database solution for longitudinal multi-site studies.
Contributions:1 PR, 205 pushes, 59 branches in 4 years 4 months
accessiblemulti-sitelorisdatabase
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