juspay/clairvoyance
Aug 2025 – Aug 2025
1 Month active
Languages Used
PythonShell
Technical Skills
AI Agent DevelopmentAI IntegrationAPI IntegrationBackend DevelopmentBug FixingConfiguration Management
yaswanth.reddy@juspay.in
PROFILE
Yaswanth.reddy@juspay.in
Worked on the juspay/clairvoyance repository to deliver unified banner management for the Breeze platform, enabling creation, updating, and removal of announcement banners on key user pages. Leveraged Python and Shell scripting to implement backend utilities for shop configuration and selective MCP server tool registration, enhancing system flexibility. Addressed an edge-case in HTML banner parsing to ensure safe content handling, and improved web search relevance by integrating current-date context into AI-driven results. Refined tool descriptions and system prompts to boost model accuracy and marketing data reliability. The work combined AI integration, API development, and prompt engineering to accelerate feature delivery.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
7Total
Bugs
1
Commits
7
Features
4
Lines of code
676
Activity Months1
Your Network
164 peopleSame Organization
@juspay.in129
Work History
August 2025
7 Commits • 4 Features
Aug 1, 2025August 2025 monthly summary for juspay/clairvoyance: Delivered key features enabling banner-driven marketing on Breeze, improved search relevance with current-date context, and introduced selective MCP server tool registration. Fixed an edge-case in HTML banner parsing to ensure content safety. Refined tool descriptions and system prompts to boost model accuracy and marketing data reliability. Overall, these efforts accelerated time-to-market for banners, improved content accuracy, and enhanced system flexibility.
7 Commits • 4 Features
Aug 1, 2025August 2025 monthly summary for juspay/clairvoyance: Delivered key features enabling banner-driven marketing on Breeze, improved search relevance with current-date context, and introduced selective MCP server tool registration. Fixed an edge-case in HTML banner parsing to ensure content safety. Refined tool descriptions and system prompts to boost model accuracy and marketing data reliability. Overall, these efforts accelerated time-to-market for banners, improved content accuracy, and enhanced system flexibility.
August 2025
Activity
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Quality Metrics
Correctness82.8%
Maintainability84.4%
Architecture80.0%
Performance68.6%
AI Usage37.2%
Skills & Technologies
Programming Languages
PythonShell
Technical Skills
AI Agent DevelopmentAI IntegrationAPI IntegrationBackend DevelopmentBug FixingConfiguration ManagementDocumentationPrompt EngineeringRefactoringTool Development
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