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
Worked on the kilian-group/phantom-wiki repository to deliver Prolog-enabled reasoning enhancements and improved data handling for model-based workflows. Focused on integrating Prolog query execution and chain-of-thought reasoning, the work centralized logic into utilities and main modules, supporting both zero-shot and few-shot scenarios. Refactored database initialization and dataset loading to streamline I/O and support multiple correct answers, while improving code readability and maintainability. Implemented a Prolog parser for OpenAI models and enhanced agent integration through modular Python code. Addressed bugs related to agent configuration, and improved documentation, resulting in a more robust, scalable backend for AI-driven natural language processing tasks.
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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