kilian-group/phantom-wiki
Feb 2025 – Feb 2025
1 Month active
Languages Used
Python
Technical Skills
AI IntegrationAPI IntegrationAgent DevelopmentArgument ParsingAssertion HandlingBackend Development
MihirMishra23
PROFILE
Mihirmishra23
Mihir Mishra enhanced the kilian-group/phantom-wiki repository by integrating Prolog-enabled reasoning and improving data handling workflows. He centralized Prolog query execution, refactored code for modularity, and streamlined dataset loading using Python and Prolog. His work enabled chain-of-thought reasoning for OpenAI models, supported multi-answer outputs, and improved agent configuration through assertion handling and argument parsing. Mihir relocated database initialization for better maintainability and fixed agent behavior bugs, contributing to more reliable backend processes. By focusing on code readability, documentation, and modular design, he delivered scalable, maintainable features that strengthened model-based reasoning and facilitated experimentation within the project’s backend architecture.
Overall Statistics
Feature vs Bugs
82%Features
Repository Contributions
23Total
Bugs
2
Commits
23
Features
9
Lines of code
1,192
Activity Months1
Your Network
12 peopleShared Repositories
12
AlbertMember
Albert GongMember
Anmol KabraMember
anmolkabraMember
ChaoMember
bogoliubonMember
xforeverjlxMember
JT-KLENKEMember
Mihir Rajnish MishraMember
Work History
February 2025
23 Commits • 9 Features
Feb 1, 2025February 2025: Delivered a cohesive set of Prolog-enabled reasoning enhancements and data-handling improvements for kilian-group/phantom-wiki. The work strengthens model-based reasoning, improves reliability, and enables maintainable, scalable experimentation through code refactors and clearer I/O workflows.
23 Commits • 9 Features
Feb 1, 2025February 2025: Delivered a cohesive set of Prolog-enabled reasoning enhancements and data-handling improvements for kilian-group/phantom-wiki. The work strengthens model-based reasoning, improves reliability, and enables maintainable, scalable experimentation through code refactors and clearer I/O workflows.
February 2025
Activity
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Quality Metrics
Correctness84.8%
Maintainability87.8%
Architecture83.0%
Performance73.0%
AI Usage27.8%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI IntegrationAPI IntegrationAgent DevelopmentArgument ParsingAssertion HandlingBackend DevelopmentCLI DevelopmentCode CleanupCode OrganizationCode ParsingCode ReadabilityCode RefactoringCommand Line InterfaceCommand-Line InterfaceCommand-line Interface Development
Repositories Contributed To
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