kilian-group/phantom-wiki
Dec 2024 – Feb 2025
3 Months active
Languages Used
MarkdownPythonBashShell
Technical Skills
Batch ProcessingBug FixBug FixingConfiguration ManagementDocumentationLLM Integration
Anmol Kabra
PROFILE
Anmol Kabra
Over three months, Akash Kanase enhanced the kilian-group/phantom-wiki repository by automating and refining evaluation workflows for large language models. He developed parameterized batch processing and integrated vLLM and DeepSeek for chain-of-thought and deep reasoning tasks, using Python and Bash to streamline configuration and environment management. His work included refactoring internal infrastructure, standardizing model naming, and improving error handling and logging for reproducibility. Akash also expanded data visualization capabilities, adding precision-recall and metric-difficulty plots to support analysis. These contributions improved the reliability, scalability, and maintainability of evaluation pipelines, demonstrating depth in distributed computing and system administration.
Overall Statistics
Feature vs Bugs
82%Features
Repository Contributions
21Total
Bugs
2
Commits
21
Features
9
Lines of code
1,827
Activity Months3
Your Network
133 people
Work History
February 2025
8 Commits • 3 Features
Feb 1, 2025February 2025 monthly recap for kilian-group/phantom-wiki. Focused on automating CoT/reasoning evaluation tooling, infrastructure refactor for reasoning tasks, and improving evaluation plots. Delivered standardized tooling for chain-of-thought and deep reasoning evaluations, integrated DeepSeek, and aligned configurations with updated naming conventions. Refactored internal configuration, consolidated model naming, and removed legacy scripts. Plotted and data-loading optimizations to support reliable, scalable evaluation on cluster environments.
8 Commits • 3 Features
Feb 1, 2025February 2025 monthly recap for kilian-group/phantom-wiki. Focused on automating CoT/reasoning evaluation tooling, infrastructure refactor for reasoning tasks, and improving evaluation plots. Delivered standardized tooling for chain-of-thought and deep reasoning evaluations, integrated DeepSeek, and aligned configurations with updated naming conventions. Refactored internal configuration, consolidated model naming, and removed legacy scripts. Plotted and data-loading optimizations to support reliable, scalable evaluation on cluster environments.
February 2025
January 2025
10 Commits • 5 Features
Jan 1, 2025January 2025: Delivered automation and analytics enhancements to the phantom-wiki evaluation workflow, expanded visualization capabilities, and extended evaluation tooling. Fixed data quality gaps and error reporting for vLLM usage, enabling more reliable metrics and faster iteration. The work increases automation, data fidelity, and the scope of evaluation scenarios, supporting better product decisions and researcher productivity.
January 2025
10 Commits • 5 Features
Jan 1, 2025January 2025: Delivered automation and analytics enhancements to the phantom-wiki evaluation workflow, expanded visualization capabilities, and extended evaluation tooling. Fixed data quality gaps and error reporting for vLLM usage, enabling more reliable metrics and faster iteration. The work increases automation, data fidelity, and the scope of evaluation scenarios, supporting better product decisions and researcher productivity.
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for kilian-group/phantom-wiki focusing on reliability and reproducibility of the evaluation workflow. Key improvements include correctness fixes for vLLM integration and documentation enhancements to support organized evaluation logging, enabling safer experiments and easier audits.
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for kilian-group/phantom-wiki focusing on reliability and reproducibility of the evaluation workflow. Key improvements include correctness fixes for vLLM integration and documentation enhancements to support organized evaluation logging, enabling safer experiments and easier audits.
December 2024
Activity
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Quality Metrics
Correctness85.2%
Maintainability86.6%
Architecture82.8%
Performance75.2%
AI Usage25.8%
Skills & Technologies
Programming Languages
BashMarkdownPythonShell
Technical Skills
Agent-based SystemsBatch ProcessingBug FixBug FixingCachingChain-of-ThoughtCode IntegrationCode RefactoringConfiguration ManagementData AnalysisData VisualizationDebuggingDevOpsDistributed ComputingDocumentation
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