mindsandcompany/doc_parser
Sep 2025 – Jan 2026
3 Months active
Languages Used
Python
Technical Skills
AI/ML IntegrationAPI IntegrationCode RefactoringDocument ProcessingNatural Language ProcessingAI integration
김성헌
PROFILE
김성헌
Worked on the mindsandcompany/doc_parser repository to deliver advanced document processing features focused on legal and legacy documents. Developed a sliding window-based table of contents extraction to improve performance on split documents and implemented appendix extraction and metadata handling for robust downstream NLP tasks. Addressed encoding issues, optimized chunking for token efficiency, and ensured captions, images, and tables remained together for higher document fidelity. Upgraded core components and integrated IBM models to enhance speed and compatibility. Utilized Python, regular expressions, and API integration, combining AI/ML techniques with careful bug fixing and code refactoring to improve reliability and user experience.
Overall Statistics
Feature vs Bugs
57%Features
Repository Contributions
7Total
Bugs
3
Commits
7
Features
4
Lines of code
4,309
Activity Months3
Your Network
57 peopleWork History
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 (2026-01) for mindsandcompany/doc_parser highlights two focused deliveries: a feature to enhance document processing integrity and performance, and a bug fix addressing caption handling. Key improvements include keeping captions, images, and tables within the same processing chunk, upgrading core components and IBM models to boost speed and compatibility, and resolving caption handling reliability issues for end users. Commits of record include a9ea02c62ba43fddb11b2869599d7cbddb028000 (Feature: Document Processing Integrity and Performance Enhancements) and 96be57733bb6f44f7a89aaeba93d9768f386adab (Bug: Document Parser Caption Handling Bug Fix). Impact: higher document fidelity, faster processing, fewer formatting errors, better UX, and stronger IBM model integration. Technologies/skills demonstrated include feature delivery and bug fixing through commit-driven development, core component upgrades, performance optimization, and cross-component collaboration.
2 Commits • 1 Features
Jan 1, 2026January 2026 (2026-01) for mindsandcompany/doc_parser highlights two focused deliveries: a feature to enhance document processing integrity and performance, and a bug fix addressing caption handling. Key improvements include keeping captions, images, and tables within the same processing chunk, upgrading core components and IBM models to boost speed and compatibility, and resolving caption handling reliability issues for end users. Commits of record include a9ea02c62ba43fddb11b2869599d7cbddb028000 (Feature: Document Processing Integrity and Performance Enhancements) and 96be57733bb6f44f7a89aaeba93d9768f386adab (Bug: Document Parser Caption Handling Bug Fix). Impact: higher document fidelity, faster processing, fewer formatting errors, better UX, and stronger IBM model integration. Technologies/skills demonstrated include feature delivery and bug fixing through commit-driven development, core component upgrades, performance optimization, and cross-component collaboration.
January 2026
October 2025
4 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for developer work on mindsandcompany/doc_parser focusing on document processing robustness, token efficiency, and metadata handling.
October 2025
4 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for developer work on mindsandcompany/doc_parser focusing on document processing robustness, token efficiency, and metadata handling.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered a Sliding Window TOC Extraction feature for mindsandcompany/doc_parser, including API updates, prompts, and new TOC utilities. The work improves performance on split legal documents, increases extraction reliability, and reduces manual post-processing. All changes were validated with tests and integrated into the main branch.
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered a Sliding Window TOC Extraction feature for mindsandcompany/doc_parser, including API updates, prompts, and new TOC utilities. The work improves performance on split legal documents, increases extraction reliability, and reduces manual post-processing. All changes were validated with tests and integrated into the main branch.
September 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture71.4%
Performance71.4%
AI Usage45.8%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI integrationAI/ML IntegrationAPI IntegrationBug FixingCode RefactoringData ModelingData ProcessingDocument ProcessingEncoding HandlingLegacy System IntegrationNatural Language ProcessingOCRPythonPython developmentPython programming
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