FRBs/FRB
Apr 2023 – Jan 2026
10 Months active
Languages Used
PythonRSTTextDataJSONJupyter NotebookYAML
Technical Skills
Python programmingastronomydata analysisdata manipulationAPI IntegrationAstronomy
sunil.simha95@gmail.com
PROFILE
Sunil.simha95@gmail.com
Sunil Simha developed and maintained advanced data analysis and processing features for the FRBs/FRB repository, focusing on astronomical catalog integration, robust error handling, and workflow reliability. He engineered scalable search utilities, improved catalog merging, and implemented resilient metadata retrieval with local caching, using Python, Astropy, and continuous integration practices. Sunil refactored code for clarity, migrated image processing from SEP to Photutils, and enhanced data validation and documentation to support reproducible research. His work addressed scientific accuracy and maintainability, delivering automated tests, streamlined pipelines, and improved compatibility with external tools, demonstrating depth in backend development, scientific computing, and software engineering.
Overall Statistics
Feature vs Bugs
69%Features
Repository Contributions
82Total
Bugs
14
Commits
82
Features
31
Lines of code
715,584
Activity Months10
Your Network
10 people
Work History
January 2026
3 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary focusing on key accomplishments in FRBs/FRB: PS1 Metadata Retrieval Resilience and Caching feature delivered to improve reliability and offline fallback. The feature adds local caching with automatic cache directory creation, existence checks for local files, and robust error handling, plus a server fallback path using cached metadata. Automated tests verify the metadata download workflow.
3 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary focusing on key accomplishments in FRBs/FRB: PS1 Metadata Retrieval Resilience and Caching feature delivered to improve reliability and offline fallback. The feature adds local caching with automatic cache directory creation, existence checks for local files, and robust error handling, plus a server fallback path using cached metadata. Automated tests verify the metadata download workflow.
January 2026
October 2025
1 Commits
Oct 1, 2025October 2025 performance summary for FRBs/FRB: Delivered a robust server-side error handling and input-validation improvement for SDSS photometry and photo-z queries, preventing crashes due to invalid results and improving observability. Validated query results before processing and surfaced clear warnings and runtime errors when failures occur, reducing pipeline downtime and enhancing data integrity.
October 2025
1 Commits
Oct 1, 2025October 2025 performance summary for FRBs/FRB: Delivered a robust server-side error handling and input-validation improvement for SDSS photometry and photo-z queries, preventing crashes due to invalid results and improving observability. Validated query results before processing and surfaced clear warnings and runtime errors when failures occur, reducing pipeline downtime and enhancing data integrity.
September 2025
2 Commits • 2 Features
Sep 1, 2025September 2025 (FRBs/FRB) – No major bugs reported. Delivered two key features with CI/test improvements: 2Mass Survey Functionality for FRB and FRB Analysis Workflow Enhancements. Key outcomes include integrated 2Mass survey support with CI tests, alignment of local_universe with main for updated CI configurations, docs, and new FRB analysis scripts. Impact: faster feature validation, more reliable builds, and streamlined analysis workflows, enabling quicker data-driven decisions. Technologies/skills demonstrated: Git PR workflows, CI/CD configuration and test automation, Python scripting, and thorough documentation.
2 Commits • 2 Features
Sep 1, 2025September 2025 (FRBs/FRB) – No major bugs reported. Delivered two key features with CI/test improvements: 2Mass Survey Functionality for FRB and FRB Analysis Workflow Enhancements. Key outcomes include integrated 2Mass survey support with CI tests, alignment of local_universe with main for updated CI configurations, docs, and new FRB analysis scripts. Impact: faster feature validation, more reliable builds, and streamlined analysis workflows, enabling quicker data-driven decisions. Technologies/skills demonstrated: Git PR workflows, CI/CD configuration and test automation, Python scripting, and thorough documentation.
September 2025
May 2025
14 Commits • 3 Features
May 1, 2025May 2025 FRBs/FRB monthly summary: Focused on delivering data-processing reliability and API clarity, with targeted feature work and high-impact bug fixes across the FRBs/FRB repository. Delivered improvements to naming conventions, data-path integrity, and documentation, while hardening critical data pipelines to reduce errors and support external tool integrations.
May 2025
14 Commits • 3 Features
May 1, 2025May 2025 FRBs/FRB monthly summary: Focused on delivering data-processing reliability and API clarity, with targeted feature work and high-impact bug fixes across the FRBs/FRB repository. Delivered improvements to naming conventions, data-path integrity, and documentation, while hardening critical data pipelines to reduce errors and support external tool integrations.
April 2025
23 Commits • 9 Features
Apr 1, 2025April 2025 FRBs/FRB monthly summary focused on stability, reliability, and developer experience across the core analysis workflow. Key deliverables include migrating image processing from SEP to Photutils to improve stability and reduce maintenance, extending cone search to support custom RA/Dec column names for flexible datasets, expanding testing and cleaning up the codebase, and enhancing documentation and helper utilities. Critical bug fixes improved data reliability and usability, including coordinate handling, desi survey query results, and catalog merging. These changes collectively reduce user-facing failures, accelerate data processing, and improve onboarding for new contributors.
23 Commits • 9 Features
Apr 1, 2025April 2025 FRBs/FRB monthly summary focused on stability, reliability, and developer experience across the core analysis workflow. Key deliverables include migrating image processing from SEP to Photutils to improve stability and reduce maintenance, extending cone search to support custom RA/Dec column names for flexible datasets, expanding testing and cleaning up the codebase, and enhancing documentation and helper utilities. Critical bug fixes improved data reliability and usability, including coordinate handling, desi survey query results, and catalog merging. These changes collectively reduce user-facing failures, accelerate data processing, and improve onboarding for new contributors.
April 2025
March 2025
22 Commits • 7 Features
Mar 1, 2025March 2025 FRBs/FRB monthly summary: Delivered a set of targeted feature enhancements and reliability fixes across the catalog and search stack, expanded data coverage, added test coverage, and cleaned up dependencies. The work improves search relevance, catalog accessibility, and maintainability, delivering tangible business value for researchers and data consumers while mitigating maintenance risk.
March 2025
22 Commits • 7 Features
Mar 1, 2025March 2025 FRBs/FRB monthly summary: Delivered a set of targeted feature enhancements and reliability fixes across the catalog and search stack, expanded data coverage, added test coverage, and cleaned up dependencies. The work improves search relevance, catalog accessibility, and maintainability, delivering tangible business value for researchers and data consumers while mitigating maintenance risk.
January 2025
8 Commits • 4 Features
Jan 1, 2025January 2025 monthly summary for FRBs/FRB: Delivered a set of catalog enhancements, distance handling improvements, and halo-related utilities, along with a unit-consistency fix. The work increased scientific accuracy, reliability, and maintainability, enabling more robust halo incidence studies along sightlines and better cross-catalog interoperability.
8 Commits • 4 Features
Jan 1, 2025January 2025 monthly summary for FRBs/FRB: Delivered a set of catalog enhancements, distance handling improvements, and halo-related utilities, along with a unit-consistency fix. The work increased scientific accuracy, reliability, and maintainability, enabling more robust halo incidence studies along sightlines and better cross-catalog interoperability.
January 2025
October 2024
7 Commits • 3 Features
Oct 1, 2024October 2024: Delivered key FRB repository enhancements and bug fixes with a focus on reliability, data quality, and integration capabilities. Implemented robust FRB name extraction from file paths, enhanced flux/magnitude conversions with explicit error handling and comprehensive docs, added Pan-STARRS photo-z retrieval support with catalog integration, and updated dependencies to include importlib_resources for consistent resource access. Strengthened tests and documentation to improve maintainability and reproducibility across analyses.
October 2024
7 Commits • 3 Features
Oct 1, 2024October 2024: Delivered key FRB repository enhancements and bug fixes with a focus on reliability, data quality, and integration capabilities. Implemented robust FRB name extraction from file paths, enhanced flux/magnitude conversions with explicit error handling and comprehensive docs, added Pan-STARRS photo-z retrieval support with catalog integration, and updated dependencies to include importlib_resources for consistent resource access. Strengthened tests and documentation to improve maintainability and reproducibility across analyses.
May 2023
1 Commits • 1 Features
May 1, 2023May 2023 monthly summary for FRBs/FRB: Delivered the Survey Utils Data Manipulation Enhancement to enable Astropy join-based operations, improving data merging capabilities in the survey_utils module and paving the way for more robust analytics workflows. The work included a targeted refactor of import statements to bring in astropy.table.join, improving data manipulation across datasets. Associated commit focused on bug fixes to ensure the new join-based workflow operates correctly. This work improves data pipeline reliability, reduces manual wrangling, and accelerates downstream analysis.
1 Commits • 1 Features
May 1, 2023May 2023 monthly summary for FRBs/FRB: Delivered the Survey Utils Data Manipulation Enhancement to enable Astropy join-based operations, improving data merging capabilities in the survey_utils module and paving the way for more robust analytics workflows. The work included a targeted refactor of import statements to bring in astropy.table.join, improving data manipulation across datasets. Associated commit focused on bug fixes to ensure the new join-based workflow operates correctly. This work improves data pipeline reliability, reduces manual wrangling, and accelerates downstream analysis.
May 2023
April 2023
1 Commits • 1 Features
Apr 1, 2023April 2023: Delivered Pan-STARRS Bulk Cone Search Grid feature for the FRBs/FRB repository, enabling grid-based, large-area searches by tiling coordinates to cover square regions. This addresses limitations of single-query cone searches, improving coverage, throughput, and scalability for Pan-STARRS data analyses. No major bugs fixed this month; primary focus was feature delivery, code quality, and maintainability. Impact includes faster, more scalable Pan-STARRS querying enabling broader scientific investigations and quicker results for researchers. Skills demonstrated include algorithmic design for spatial tiling, effective version-controlled contributions, and collaboration within the FRB project.
April 2023
1 Commits • 1 Features
Apr 1, 2023April 2023: Delivered Pan-STARRS Bulk Cone Search Grid feature for the FRBs/FRB repository, enabling grid-based, large-area searches by tiling coordinates to cover square regions. This addresses limitations of single-query cone searches, improving coverage, throughput, and scalability for Pan-STARRS data analyses. No major bugs fixed this month; primary focus was feature delivery, code quality, and maintainability. Impact includes faster, more scalable Pan-STARRS querying enabling broader scientific investigations and quicker results for researchers. Skills demonstrated include algorithmic design for spatial tiling, effective version-controlled contributions, and collaboration within the FRB project.
Activity
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Quality Metrics
Correctness85.8%
Maintainability86.8%
Architecture83.4%
Performance76.0%
AI Usage22.4%
Skills & Technologies
Programming Languages
DataJSONJupyter NotebookPythonRSTTextYAML
Technical Skills
API IntegrationAPI integrationAstronomyAstronomy Data ProcessingAstronomy Data ReductionAstronomy SoftwareAstrophysicsAstrophysics Data AnalysisAstropyAstroqueryBackend DevelopmentBug FixingCatalog MergingClean CodeCode Clarity
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