UBCSailbot/sailbot_workspace
Jan 2026 – Jan 2026
1 Month active
Languages Used
JavaScript
Technical Skills
MongoDBNode.jsWebSocketbackend development
Ryan Kim
PROFILE
Ryan Kim
Ryan Kim developed a real-time ship data ingestion feature for the UBCSailbot/sailbot_workspace repository, focusing on enhancing vessel visibility and operational awareness. He integrated with the external aisstream.io API using Node.js and WebSocket to receive live AIS data, processed incoming messages, and designed a MongoDB data model to store the latest ship positions for rapid dashboard access. His work established a reliable end-to-end data pipeline from ingestion to UI-ready storage, supporting low-latency monitoring and routing decisions. Over the month, Ryan demonstrated backend development skills in JavaScript, delivering a robust foundation for real-time maritime data visualization without addressing major bug fixes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
411
Activity Months1
Your Network
5 peopleShared Repositories
5
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for UBC Sailbot workspace focused on delivering real-time vessel visibility and establishing an end-to-end data pipeline. Key feature delivered: AIS Real-Time Ship Data Ingestion integrates with aisstream.io to receive live ship data, processes it, and stores the latest positions in MongoDB for fast access and dashboard readiness. No major bugs fixed were reported this month. Overall impact: improved operational awareness and decision-making through up-to-date vessel positions, enabling dashboards, routing, and monitoring capabilities with low data latency. Technologies and skills demonstrated: real-time streaming ingestion, external API integration (aisstream.io), data processing pipelines, MongoDB data modeling and storage of latest ship positions, and code collaboration evidenced by the commit Add AIS ships to website (#725).
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for UBC Sailbot workspace focused on delivering real-time vessel visibility and establishing an end-to-end data pipeline. Key feature delivered: AIS Real-Time Ship Data Ingestion integrates with aisstream.io to receive live ship data, processes it, and stores the latest positions in MongoDB for fast access and dashboard readiness. No major bugs fixed were reported this month. Overall impact: improved operational awareness and decision-making through up-to-date vessel positions, enabling dashboards, routing, and monitoring capabilities with low data latency. Technologies and skills demonstrated: real-time streaming ingestion, external API integration (aisstream.io), data processing pipelines, MongoDB data modeling and storage of latest ship positions, and code collaboration evidenced by the commit Add AIS ships to website (#725).
January 2026
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScript
Technical Skills
MongoDBNode.jsWebSocketbackend development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline