OHDSI/Data2Evidence
May 2025 – Oct 2025
4 Months active
Languages Used
JavaScriptTypeScriptYAMLDockerfileRSQLCSV
Technical Skills
API DevelopmentBackend DevelopmentDockerEnvironment ConfigurationLLM IntegrationContainerization
amit-sharma-d4l
PROFILE
Amit-sharma-d4l
Amit Sharma contributed to the OHDSI/Data2Evidence repository by developing and enhancing features that streamline data standardization, survivorship analytics, and cohort management workflows. He implemented an LLM-powered data mapping system to map non-OMOP datasets to the OMOP CDM, leveraging TypeScript, Docker, and environment configuration for scalable deployment. Amit integrated and upgraded R packages within containerized environments to ensure compatibility and reliability for survival analysis modules. He expanded end-to-end testing using Playwright and JavaScript, covering both admin and researcher workflows, which improved regression safety and data governance. His work demonstrated depth in backend integration, DevOps, and automated quality assurance.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
11Total
Bugs
2
Commits
11
Features
8
Lines of code
917
Activity Months4
Your Network
12 peopleSame Organization
@data4life-asia.care5
Work History
October 2025
4 Commits • 4 Features
Oct 1, 2025October 2025: Expanded automated end-to-end testing coverage for OHDSI/Data2Evidence, focusing on admin and researcher workflows to reduce regression risk and improve data governance and cohort management.
4 Commits • 4 Features
Oct 1, 2025October 2025: Expanded automated end-to-end testing coverage for OHDSI/Data2Evidence, focusing on admin and researcher workflows to reduce regression risk and improve data governance and cohort management.
October 2025
September 2025
4 Commits • 2 Features
Sep 1, 2025September 2025 delivered targeted improvements and reliability enhancements for OHDSI/Data2Evidence, focusing on deployment accuracy, analytics visualization, and test automation. Key outcomes include a Docker image installation fix to ensure the correct TreatmentPatterns package version, an enhancement of Cohort Survival visualizations with Kaplan-Meier support and a dataset-based sunburst selector, and expanded end-to-end UI tests for Concepts and Datasets pages to improve regression safety. These efforts reduce deployment risk, accelerate data analysis workflows, and strengthen overall product quality and usability.
September 2025
4 Commits • 2 Features
Sep 1, 2025September 2025 delivered targeted improvements and reliability enhancements for OHDSI/Data2Evidence, focusing on deployment accuracy, analytics visualization, and test automation. Key outcomes include a Docker image installation fix to ensure the correct TreatmentPatterns package version, an enhancement of Cohort Survival visualizations with Kaplan-Meier support and a dataset-based sunburst selector, and expanded end-to-end UI tests for Concepts and Datasets pages to improve regression safety. These efforts reduce deployment risk, accelerate data analysis workflows, and strengthen overall product quality and usability.
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 (OHDSI/Data2Evidence) focused on enabling end-to-end survivorship analyses in Strategus and strengthening platform stability across containers and dependencies. Key features delivered include the CohortSurvival integration into Strategus with Dockerfile updates to include the CohortSurvival module, verification that the d2e Strategus image contains it, updates to dependency checks, and the resolution of a duplicate CohortIncidence module. In parallel, the TreatmentPatterns R package was upgraded to version 3.1.1 in both the R ohdsi kernel and Hades flow container, resolving compatibility issues with Strategus and stabilizing the Hades flow container. These changes reduce deployment risk, improve runtime reliability of survival analytics, and lay groundwork for smoother future module integrations.
2 Commits • 1 Features
Aug 1, 2025August 2025 (OHDSI/Data2Evidence) focused on enabling end-to-end survivorship analyses in Strategus and strengthening platform stability across containers and dependencies. Key features delivered include the CohortSurvival integration into Strategus with Dockerfile updates to include the CohortSurvival module, verification that the d2e Strategus image contains it, updates to dependency checks, and the resolution of a duplicate CohortIncidence module. In parallel, the TreatmentPatterns R package was upgraded to version 3.1.1 in both the R ohdsi kernel and Hades flow container, resolving compatibility issues with Strategus and stabilizing the Hades flow container. These changes reduce deployment risk, improve runtime reliability of survival analytics, and lay groundwork for smoother future module integrations.
August 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for OHDSI/Data2Evidence: Delivered the initial LLM-powered data mapping feature to map non-OMOP datasets to the OMOP CDM, including environment variable configuration and service infrastructure setup. The feature changes were merged into the develop branch. No major bugs documented this month. Impact: accelerates data standardization for research, enabling faster onboarding of diverse data sources and reproducible analyses. Skills demonstrated: LLM integration, data standardization to CDM, environment/configuration management, and collaborative DevOps.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for OHDSI/Data2Evidence: Delivered the initial LLM-powered data mapping feature to map non-OMOP datasets to the OMOP CDM, including environment variable configuration and service infrastructure setup. The feature changes were merged into the develop branch. No major bugs documented this month. Impact: accelerates data standardization for research, enabling faster onboarding of diverse data sources and reproducible analyses. Skills demonstrated: LLM integration, data standardization to CDM, environment/configuration management, and collaborative DevOps.
Activity
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Quality Metrics
Correctness94.6%
Maintainability91.0%
Architecture85.4%
Performance89.0%
AI Usage25.4%
Skills & Technologies
Programming Languages
CSVDockerfileJavaScriptRSQLTypeScriptYAML
Technical Skills
API DevelopmentAdmin Portal TestingBackend DevelopmentCohort ManagementContainerizationData Analysis PlatformData VisualizationDatabase InteractionDependency ManagementDevOpsDockerEnd-to-End TestingEnvironment ConfigurationJavaScriptLLM Integration
Repositories Contributed To
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