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Yoan Pratama Putra

PROFILE

Yoan Pratama Putra

Yoan Pratama Putra contributed to the mcp-getgather/mcp-getgather repository by building and refining data integration tools that streamline multi-source data extraction and processing. He implemented features such as Amazon and Goodreads data retrieval, robust sign-in flows, and asynchronous order fetching for platforms like Doordash and Garmin. Using Python, JavaScript, and HTML, Yoan applied pattern-based extraction, error handling, and responsive UI techniques to improve reliability and user experience. His work included migrating integrations to a Zen-based framework, enhancing backend pipelines, and modernizing frontend components, resulting in deeper analytics capabilities and more maintainable, scalable workflows across the application stack.

Overall Statistics

Feature vs Bugs

88%Features

Repository Contributions

36Total
Bugs
3
Commits
36
Features
22
Lines of code
2,797
Activity Months7

Work History

April 2026

4 Commits • 2 Features

Apr 1, 2026

April 2026: Delivered reliability-focused sign-in improvements and an intuitive YouTube channel selection feature in the mcp-getgather/mcp-getgather repo, along with targeted bug fixes to enhance UX and stability. These changes support higher user conversion, reduced friction in content access, and scalable front-end patterns.

March 2026

4 Commits • 2 Features

Mar 1, 2026

March 2026 monthly summary for the mcp-getgather/mcp-getgather repository. This period focused on delivering multi-source data retrieval capabilities, expanding the MCP app ecosystem, and hardening deployment reliability to support better business outcomes.

February 2026

3 Commits • 2 Features

Feb 1, 2026

February 2026: Delivered two high-impact feature sets in mcp-getgather/mcp-getgather, focusing on robust data integration for health and e-commerce signals. Implemented Garmin integration for activities, calories burned, and training stress score (TSS) with HTML parsing and sign-in flow. Implemented Amazon data access tools enabling remote retrieval of purchase history, browsing history, and product search via asynchronous data fetching, with error handling and logging. Updated HTML to include a conversion attribute for Amazon orders to improve downstream data processing. These efforts strengthen end-to-end data capture, enable richer analytics, and support business workflows around user engagement and purchasing behavior.

December 2025

4 Commits • 1 Features

Dec 1, 2025

December 2025 performance month focused on modernization of the integration stack and strengthening order processing reliability. Delivered a Zen-based integration overhaul across multiple modules and hardened the order details workflow, resulting in improved functionality, performance, and UI reliability, with enhanced observability and maintainability.

November 2025

7 Commits • 5 Features

Nov 1, 2025

November 2025: Delivered substantial data integration and reliability improvements across major data pipelines, with emphasis on maintainability, analytics capabilities, and developer productivity. Key outcomes include Zen-based migrations, enhanced data capture, timezone-aware sessions, and targeted codebase optimizations that collectively improve data accuracy, downstream workflows, and release cadence.

October 2025

11 Commits • 9 Features

Oct 1, 2025

October 2025 (2025-10) monthly summary for mcp-getgather/mcp-getgather: Expanded data extraction depth and vendor coverage, improved reliability through distillation-based extraction, and integrated multiple services via dpage. This period delivered key features across Goodreads, Amazon, Office Depot, Netflix, Starbucks, and Kindle, aligning with business goals of richer analytics, end-to-end data retrieval, and scalable automation.

September 2025

3 Commits • 1 Features

Sep 1, 2025

Monthly summary for 2025-09 focusing on developer work for repository mcp-getgather/mcp-getgather. Highlights include a feature-driven refactor of Amazon purchases data extraction to a distillation-based approach with refined product title selection, and a bug fix ensuring MCP tool documentation always has a description. These changes improve data accuracy, tool documentation completeness, and overall reliability, delivering measurable business value for downstream analytics and user-facing documentation.

Activity

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Quality Metrics

Correctness86.6%
Maintainability85.6%
Architecture84.4%
Performance84.4%
AI Usage26.2%

Skills & Technologies

Programming Languages

CSSHTMLJavaScriptPythonYAML

Technical Skills

API IntegrationAPI developmentAPI integrationAuthenticationBackend DevelopmentCI/CDCSSCSS SelectorsConfiguration ManagementData ExtractionData ValidationFrontend DevelopmentHTMLHTML ParsingHTML Templating

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

mcp-getgather/mcp-getgather

Sep 2025 Apr 2026
7 Months active

Languages Used

HTMLPythonYAMLJavaScriptCSS

Technical Skills

Backend DevelopmentCSS SelectorsData ExtractionWeb ScrapingAPI IntegrationAuthentication