Sruthy Mathew
Data Engineer
London, Canada
Summary
👤
Senior🎓
Top SchoolSruthy Mathew is a data engineer with nearly a decade of experience building and optimizing clinical and research data systems across multi-site healthcare environments. She combines full-stack LAMP development, robust MySQL schema design, REST API integrations, and workflow automation to make clinical data cleaner, more structured, and more actionable. At The Neuro she progressed from developer to team lead, overseeing deployments, database design, and mentoring while contributing significant fixes and features to the widely used LORIS neuroinformatics platform. Now based in London and working with Lasso Informatics and the University of Ottawa Heart Institute, she delivers end-to-end solutions that balance clinician needs with scalable engineering. Her hands-on contributions include SQL optimizations, UI improvements, and imaging integrations in open-source research tooling—evidence of a practitioner who pairs technical depth with clinical empathy.
9 years of coding experience
11 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Science and Engineering, Bachelor of Technology (B.Tech.) Computer Science and Engineering at College of Engineering, Poonjar
English, Malayalam
Github Skills (7)
php10
javascript10
sql9
databases8
database8
react8
data-sharing7
Programming languages (4)
Github contributions (5)
aces/Loris
Feb 2017 - Apr 2020
LORIS is a web-accessible database solution for longitudinal multi-site studies.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:8 reviews, 33 commits, 57 PRs in 3 years 3 months
Contributions summary:Sruthy's commits primarily involve modifying PHP and JavaScript code within the LORIS web application. They have addressed various issues, including fixing bugs related to form validation, updating UI components, and improving data display in multiple modules. Furthermore, they contributed to database schema updates and SQL query optimizations. Their work also includes implementing new features like filters and adding columns to the Data Team Helper module and integrating with the imaging browser.
multi-siteneuroimagingscienceaccessibleloris
sruthymathew123/Loris
Feb 2017 - Mar 2025
LORIS is a web-accessible database solution for longitudinal multi-site studies.
Contributions:94 pushes, 47 branches in 8 years 2 months
accessiblemulti-sitelorisdatabase
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