NautiChat-SENG499-Capstone/NautiChat-Backend
Jun 2025 – Jul 2025
2 Months active
Languages Used
Python
Technical Skills
API IntegrationBackend DevelopmentData RetrievalLLM IntegrationAPI DevelopmentData Handling
jenessahiggs
PROFILE
Jenessahiggs
Jenessa Higgs contributed to the NautiChat-SENG499-Capstone/NautiChat-Backend repository by developing robust backend features focused on environmental and acoustic data retrieval. She implemented a Python-based system for accessing daily air temperature statistics for Cambridge Bay, enhancing data availability for analytics. Jenessa standardized ONC API data retrieval workflows, unifying function signatures and error handling to streamline integration and reduce friction for developers. Her work included code cleanup, improved documentation, and the introduction of pre-commit checks, which collectively increased maintainability and code quality. Throughout, she leveraged skills in API development, backend engineering, and data handling to deliver well-structured, reliable solutions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
371
Activity Months2
Your Network
11 people
Work History
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025: NautiChat-Backend delivered targeted improvements to the ONC API data retrieval workflow, focusing on interface consistency, robust error handling, and streamlined parameters. Standardized function signatures for ONC data products, clarified data retrieval semantics across get_ship_noise_acoustic_for_date and plot_spectrogram_for_date, removed an unnecessary required parameter (user_onc_token), and reinforced code quality through pre-commit checks. Updated documentation and tool descriptions to reflect new interface expectations, improving developer onboarding and long-term maintainability.
3 Commits • 1 Features
Jul 1, 2025July 2025: NautiChat-Backend delivered targeted improvements to the ONC API data retrieval workflow, focusing on interface consistency, robust error handling, and streamlined parameters. Standardized function signatures for ONC data products, clarified data retrieval semantics across get_ship_noise_acoustic_for_date and plot_spectrogram_for_date, removed an unnecessary required parameter (user_onc_token), and reinforced code quality through pre-commit checks. Updated documentation and tool descriptions to reflect new interface expectations, improving developer onboarding and long-term maintainability.
July 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary focusing on key accomplishments in NautiChat-Backend. Delivered a new data retrieval capability for Cambridge Bay's daily air temperature statistics, complemented by code cleanup and documentation improvements in the LLM module. This work enhances environmental data access, supports analytics-driven features, and improves maintainability of the backend.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary focusing on key accomplishments in NautiChat-Backend. Delivered a new data retrieval capability for Cambridge Bay's daily air temperature statistics, complemented by code cleanup and documentation improvements in the LLM module. This work enhances environmental data access, supports analytics-driven features, and improves maintainability of the backend.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture75.0%
Performance65.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentData HandlingData RetrievalLLM Integration
Repositories Contributed To
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