UBCSailbot/sailbot_workspace
Jan 2026 – Jan 2026
1 Month active
Languages Used
JavaScript
Technical Skills
MongoDBNode.jsWebSocketbackend development
Ryan Kim
PROFILE
Ryan Kim
Developed and delivered an AIS Real-Time Ship Data Ingestion feature for the UBCSailbot/sailbot_workspace repository, enabling real-time vessel visibility for operational dashboards. The solution connected to the external aisstream.io API using Node.js and WebSocket to ingest live ship data, processed incoming streams, and stored the latest vessel positions in MongoDB for rapid access. This end-to-end data pipeline improved situational awareness by providing up-to-date ship locations suitable for routing and monitoring. The work demonstrated backend development skills, including data modeling and integration with UI components, and established a scalable, reliable ingestion process without reported bug fixes during the development period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
411
Activity Months1
Your Network
7 peopleShared Repositories
7
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
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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
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