LearningCircuit/local-deep-research
Mar 2025 – Mar 2025
1 Month active
Languages Used
Python
Technical Skills
API IntegrationBackend DevelopmentConfiguration ManagementLLM IntegrationWeb Scraping
Nikhil Dev Goyal
PROFILE
Nikhil Dev Goyal
Nikhil Goyal developed a multi-engine search capability for the LearningCircuit/local-deep-research repository, enabling users to select between Serp API and Brave Search as configurable search engines. He approached the problem by implementing new backend integrations and configuration management, allowing seamless switching between providers and expanding search options beyond DuckDuckGo. Using Python, Nikhil focused on API integration and backend development to diversify search sources, improve resilience, and facilitate rapid evaluation of search quality. The work demonstrated depth in both design and implementation, laying a foundation for operational flexibility and future enhancements in search tool selection and performance testing across engines.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
539
Activity Months1
Your Network
21 peopleWork History
March 2025
2 Commits • 1 Features
Mar 1, 2025Month: 2025-03 — Summary: Delivered multi-engine search capability in LearningCircuit/local-deep-research, enabling Serp API and Brave Search as selectable engines with configurable switching between tools. This work diversifies search providers, improves resilience and relevance, and sets the stage for faster evaluation and iteration of search quality across engines.
2 Commits • 1 Features
Mar 1, 2025Month: 2025-03 — Summary: Delivered multi-engine search capability in LearningCircuit/local-deep-research, enabling Serp API and Brave Search as selectable engines with configurable switching between tools. This work diversifies search providers, improves resilience and relevance, and sets the stage for faster evaluation and iteration of search quality across engines.
March 2025
Activity
Loading activity data...
Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture95.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationBackend DevelopmentConfiguration ManagementLLM IntegrationWeb Scraping
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline