Developed a secure data collection portal for research studies, ensuring compliance with data protection regulations and reducing the risk of data breaches.
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Built the portal using HTML, CSS, JavaScript, and Flask resulting in a user-friendly interface that was easily navigable for study participants and researchers.
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Automated data collection and storage using REST API, resulting in a 50% reduction in manual data entry time for researchers and staff.
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Successfully managed and maintained the portal, troubleshooting any technical issues that arose during the study period, resulting in 99% uptime throughout the study.
Created and optimized a simulation tool to test robot code, reducing deployment time from multiple days to 3 hours.
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Developed automated scripts which allowed for integration with existing software development platform, consequently cutting down debugging time by 10%.
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Set up an end-to-end cloud deployment pipeline for the tool, automating the process of building and testing.
Created a Federated Query Engine that allowed accessing data from multiple platforms using a single API, reducing the time and effort needed to manually gather data from each platform.
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Developed a Python library for developer-friendly access to the tool, resulting in a 30% increase in developer productivity.
