JohnSnowLabs/spark-nlp-workshop
Nov 2024 – Sep 2025
7 Months active
Languages Used
Jupyter NotebookPythonJSON
Technical Skills
Data ScienceData TransformationHealthcare NLPJupyter NotebooksMachine LearningNatural Language Processing
Meryem Sarikaya
PROFILE
Meryem Sarikaya
Meryem Sarikaya developed and enhanced a suite of healthcare NLP features in the JohnSnowLabs/spark-nlp-workshop repository, focusing on clinical text analysis, de-identification, and educational resources. She built end-to-end Jupyter Notebooks for oncology and German clinical data, integrating Spark NLP with Python to demonstrate named entity recognition, assertion status detection, and relation extraction. Her work included benchmarking de-identification across AWS Comprehend Medical and Azure Health Data Services, refining contextual entity recognition, and preparing generative AI training materials. By aligning model artifact naming and improving onboarding assets, Meryem ensured reproducible workflows and streamlined adoption for healthcare data science teams and educators.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
7
Lines of code
40,956
Activity Months7
Your Network
15 people
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for JohnSnowLabs/spark-nlp-workshop focusing on the Healthcare NER Training Notebook feature. Delivered an end-to-end notebook to train a healthcare-focused NER model using Generative AI, including environment setup, data preparation from JSON/CSV formats, training with MedicalNerApproach, and evaluation of performance. No major bugs reported this month; one feature delivered with a clear end-to-end workflow.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for JohnSnowLabs/spark-nlp-workshop focusing on the Healthcare NER Training Notebook feature. Delivered an end-to-end notebook to train a healthcare-focused NER model using Generative AI, including environment setup, data preparation from JSON/CSV formats, training with MedicalNerApproach, and evaluation of performance. No major bugs reported this month; one feature delivered with a clear end-to-end workflow.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary focusing on key business value and technical achievements. This period centered on aligning model artifact naming with the latest JSL Medical VLM iteration in the spark-nlp-workshop repository, ensuring brand consistency and future-proofing for versioned releases. The primary deliverable was a non-functional rename of folders/notebooks/README to reflect JSL-Medical-VLM-24B, with no code changes to the underlying model or pipeline. This improves discoverability and reduces onboarding friction for teams integrating the new model version.
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary focusing on key business value and technical achievements. This period centered on aligning model artifact naming with the latest JSL Medical VLM iteration in the spark-nlp-workshop repository, ensuring brand consistency and future-proofing for versioned releases. The primary deliverable was a non-functional rename of folders/notebooks/README to reflect JSL-Medical-VLM-24B, with no code changes to the underlying model or pipeline. This improves discoverability and reduces onboarding friction for teams integrating the new model version.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for JohnSnowLabs/spark-nlp-workshop: Delivered Open Source Capabilities Training Materials for April 2025, including a Jupyter Notebook and slides added to the certification trainings section to provide up-to-date resources for participants in the generative AI training. No major bug fixes recorded this month. Impact: improved readiness and availability of training assets, enabling faster onboarding for participants and alignment with the April session schedule. Skills demonstrated: content authoring (Notebook, slide deck), Git versioning, repository asset management.
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for JohnSnowLabs/spark-nlp-workshop: Delivered Open Source Capabilities Training Materials for April 2025, including a Jupyter Notebook and slides added to the certification trainings section to provide up-to-date resources for participants in the generative AI training. No major bug fixes recorded this month. Impact: improved readiness and availability of training assets, enabling faster onboarding for participants and alignment with the April session schedule. Skills demonstrated: content authoring (Notebook, slide deck), Git versioning, repository asset management.
April 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for JohnSnowLabs/spark-nlp-workshop: Delivery of new German clinical de-identification notebook suite and updates to support privacy-preserving demonstrations in healthcare; no notable bugs fixed in scope of this repo; focus on enabling workshop participants to showcase de-identification capabilities with German clinical data and SNOMED/ICD-10-GM coverage.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for JohnSnowLabs/spark-nlp-workshop: Delivery of new German clinical de-identification notebook suite and updates to support privacy-preserving demonstrations in healthcare; no notable bugs fixed in scope of this repo; focus on enabling workshop participants to showcase de-identification capabilities with German clinical data and SNOMED/ICD-10-GM coverage.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly work summary focusing on key accomplishments for the JohnSnowLabs spark-nlp-workshop repository. The month centered on delivering enhanced healthcare NLP notebook capabilities with robust de-identification benchmarking and improved tooling, alongside targeted refinements to Spark NLP healthcare modules and entity recognition components. No critical regressions were reported; emphasis was on release readiness and cross-service benchmarking.
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly work summary focusing on key accomplishments for the JohnSnowLabs spark-nlp-workshop repository. The month centered on delivering enhanced healthcare NLP notebook capabilities with robust de-identification benchmarking and improved tooling, alongside targeted refinements to Spark NLP healthcare modules and entity recognition components. No critical regressions were reported; emphasis was on release readiness and cross-service benchmarking.
February 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025: Delivered oncology-focused clinical NLP capabilities in the Spark NLP workshop repository. Implemented and organized Oncology Clinical NLP Notebooks within JohnSnowLabs/spark-nlp-workshop, illustrating end-to-end healthcare NLP workflows (NER, assertion status detection, and relation extraction) using Spark NLP models. The notebooks were uploaded into two folders to streamline adoption and experimentation for clinicians and data scientists. This feature-focused month strengthens the healthcare NLP footprint of the workshop, enabling faster prototyping, evaluation, and onboarding for oncology use cases.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025: Delivered oncology-focused clinical NLP capabilities in the Spark NLP workshop repository. Implemented and organized Oncology Clinical NLP Notebooks within JohnSnowLabs/spark-nlp-workshop, illustrating end-to-end healthcare NLP workflows (NER, assertion status detection, and relation extraction) using Spark NLP models. The notebooks were uploaded into two folders to streamline adoption and experimentation for clinicians and data scientists. This feature-focused month strengthens the healthcare NLP footprint of the workshop, enabling faster prototyping, evaluation, and onboarding for oncology use cases.
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024: Focused on delivering educator-facing feature enhancements for healthcare NLP within the spark-nlp-workshop repository. Key feature delivered: Healthcare NLP Notebook Enhancements and Annotator Demos, including Flattener usage for the Spark NLP Udemy MOOC and expanded demonstrations of annotators (RegexMatcher, TextMatcher, EntityRuler, PipelineTracer, PipelineOutputParser) to improve usability and showcase capabilities with healthcare data. Commits contributing to this work include 37093177636b656f088fabfe4262c31fd56ad179 (Updated Flattener MOOC nb) and 315d68f6195d94aecbd8353fef4c0ccd001451a3 (Updated notebooks and created new notebook for release). Major bugs fixed: none reported in this period. Overall impact: enhanced educational materials, accelerated learner onboarding, and release-ready notebooks that demonstrate core Spark NLP healthcare workflows, increasing potential adoption. Technologies/skills demonstrated: Spark NLP components (Flattener, RegexMatcher, TextMatcher, EntityRuler, PipelineTracer, PipelineOutputParser), notebook development, release management, and documentation.
2 Commits • 1 Features
Nov 1, 2024November 2024: Focused on delivering educator-facing feature enhancements for healthcare NLP within the spark-nlp-workshop repository. Key feature delivered: Healthcare NLP Notebook Enhancements and Annotator Demos, including Flattener usage for the Spark NLP Udemy MOOC and expanded demonstrations of annotators (RegexMatcher, TextMatcher, EntityRuler, PipelineTracer, PipelineOutputParser) to improve usability and showcase capabilities with healthcare data. Commits contributing to this work include 37093177636b656f088fabfe4262c31fd56ad179 (Updated Flattener MOOC nb) and 315d68f6195d94aecbd8353fef4c0ccd001451a3 (Updated notebooks and created new notebook for release). Major bugs fixed: none reported in this period. Overall impact: enhanced educational materials, accelerated learner onboarding, and release-ready notebooks that demonstrate core Spark NLP healthcare workflows, increasing potential adoption. Technologies/skills demonstrated: Spark NLP components (Flattener, RegexMatcher, TextMatcher, EntityRuler, PipelineTracer, PipelineOutputParser), notebook development, release management, and documentation.
November 2024
Activity
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Quality Metrics
Correctness97.0%
Maintainability97.0%
Architecture97.0%
Performance88.0%
AI Usage32.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookPython
Technical Skills
AWS Comprehend MedicalAssertion Status DetectionAzure Health Data ServicesClinical NLPContent CreationContextual Entity RecognitionData De-identificationData PreparationData ScienceData TransformationData VisualizationDe-identificationDocumentationGenerative AIHealthcare NLP
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