atomeocean/job-compass
May 2026 – Jun 2026
2 Months active
Languages Used
JSONMarkdown
Technical Skills
JSON manipulationcontent managementcontent writingdata formattingdata structuresdata structuring
Xuanming Jiao
PROFILE
Xuanming Jiao
Contributed to the atomeocean/job-compass repository by building and enhancing structured interview experience documentation for major tech companies, including Amazon, Uber, Google, TikTok, NVIDIA, and Microsoft. Focused on JSON and Markdown, the work involved standardizing data structures, enriching interview records with new fields, and correcting formatting to improve data quality and searchability. Addressed bugs in the rounds array and metadata, ensuring accurate representation of interview processes and maintainable documentation. Collaborated through co-authored commits and cross-team reviews, delivering resources that support candidate preparation and onboarding. Demonstrated skills in JSON manipulation, content management, data structuring, and documentation best practices.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
16Total
Bugs
2
Commits
16
Features
7
Lines of code
756
Activity Months2
Your Network
14 peopleShared Repositories
14
Work History
June 2026
3 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for atomeocean/job-compass: Delivered documentation enhancements and data integrity fixes for interview experiences, aligning with business value of improved onboarding and reliable candidate resources. Key features delivered include introducing a Microsoft Interview Experience section and adding a TikTok SDE interview experiences reference to the docs, alongside updating related markdown files. Major bugs fixed include correcting the rounds array data structure in interview experiences to properly represent interview rounds and their ratings. Overall impact: strengthened documentation quality, data accuracy, and maintainability; reduced onboarding friction for new grads and provided clearer reference content for engineers reviewing interview experiences. Technologies and skills demonstrated: Markdown documentation, MD metadata management (createdDate/lastUpdated), Git version control, data modeling for interview rounds, and collaborative development (co-authored commits).
3 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for atomeocean/job-compass: Delivered documentation enhancements and data integrity fixes for interview experiences, aligning with business value of improved onboarding and reliable candidate resources. Key features delivered include introducing a Microsoft Interview Experience section and adding a TikTok SDE interview experiences reference to the docs, alongside updating related markdown files. Major bugs fixed include correcting the rounds array data structure in interview experiences to properly represent interview rounds and their ratings. Overall impact: strengthened documentation quality, data accuracy, and maintainability; reduced onboarding friction for new grads and provided clearer reference content for engineers reviewing interview experiences. Technologies and skills demonstrated: Markdown documentation, MD metadata management (createdDate/lastUpdated), Git version control, data modeling for interview rounds, and collaborative development (co-authored commits).
June 2026
May 2026
13 Commits • 6 Features
May 1, 2026Monthly summary for 2026-05 for repository atomeocean/job-compass: Delivered comprehensive interview experience documentation across major tech companies, plus JSON data enrichment and structure corrections. Key deliverables include six new company docs (Amazon, Uber, Google, TikTok, NVIDIA) and an Interview Experience JSON Data Enrichment entry, with focused commits improving data quality, structure, and accessibility. The changes lay groundwork for improved candidate prep resources and cross-company comparability.
May 2026
13 Commits • 6 Features
May 1, 2026Monthly summary for 2026-05 for repository atomeocean/job-compass: Delivered comprehensive interview experience documentation across major tech companies, plus JSON data enrichment and structure corrections. Key deliverables include six new company docs (Amazon, Uber, Google, TikTok, NVIDIA) and an Interview Experience JSON Data Enrichment entry, with focused commits improving data quality, structure, and accessibility. The changes lay groundwork for improved candidate prep resources and cross-company comparability.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONMarkdown
Technical Skills
JSON manipulationcontent creationcontent managementcontent writingdata formattingdata structuresdata structuringdocumentationinterview preparation
Repositories Contributed To
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