UIUC-Chatbot/ai-ta-backend
Mar 2025 – Apr 2025
2 Months active
Languages Used
Python
Technical Skills
AI IntegrationAI/MLAPI IntegrationBackend DevelopmentError HandlingLLM Monitoring
Heather Broome
PROFILE
Heather Broome
Worked on the UIUC-Chatbot/ai-ta-backend repository, focusing on enhancing backend reliability and safety monitoring for AI-driven chat systems. Delivered features that improved alerting accuracy by implementing deduplication for email alerts and refining LLM monitoring with prompt engineering and contextual data. Integrated Llama Guard 3 for advanced safety classification, enabling message-level analysis and targeted email notifications for unsafe content. Updated database workflows to support traceable status tracking and reduced false positives by excluding non-critical alert categories. Leveraged Python for backend development, API integration, and database management, demonstrating a methodical approach to error handling and alerting system improvements over two months.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
7Total
Bugs
1
Commits
7
Features
3
Lines of code
489
Activity Months2
Your Network
18 peopleShared Repositories
18
Work History
April 2025
2 Commits • 1 Features
Apr 1, 2025Month: 2025-04 — UIUC-Chatbot/ai-ta-backend delivered targeted enhancements to Llama Guard Monitoring and Alerts, improving safety monitoring accuracy, alert relevance, and data traceability.
2 Commits • 1 Features
Apr 1, 2025Month: 2025-04 — UIUC-Chatbot/ai-ta-backend delivered targeted enhancements to Llama Guard Monitoring and Alerts, improving safety monitoring accuracy, alert relevance, and data traceability.
April 2025
March 2025
5 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for UIUC-Chatbot/ai-ta-backend: Focused on reliability and monitoring enhancements with bug fixes and policy updates that reduce noise and improve actionable alerts. Key dedup and monitoring work delivered across the backend services, enhancing safety posture and context in alerts.
March 2025
5 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for UIUC-Chatbot/ai-ta-backend: Focused on reliability and monitoring enhancements with bug fixes and policy updates that reduce noise and improve actionable alerts. Key dedup and monitoring work delivered across the backend services, enhancing safety posture and context in alerts.
Activity
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Quality Metrics
Correctness85.8%
Maintainability85.8%
Architecture80.0%
Performance82.8%
AI Usage42.8%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI IntegrationAI/MLAPI IntegrationAlerting SystemsBackend DevelopmentDatabase ManagementEmail ServicesError HandlingLLM MonitoringPrompt Engineering
Repositories Contributed To
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