CMBAgents/cmbagent
Jun 2025 – Aug 2025
3 Months active
Languages Used
GLSLJSONJavaScriptJupyter NotebookPythonYAML
Technical Skills
ADQL QueryingAI EvaluationAI IntegrationAI-assisted DevelopmentAgent DevelopmentAstronomical Data Analysis
Kahaan Gandhi
PROFILE
Kahaan Gandhi
Over three months, contributed to the CMBAgents/cmbagent repository by developing and refining a Vision-Language Model (VLM) judging pipeline for scientific plot evaluation. Built a structured, machine-readable verdict schema and automated batch experiment tooling, enabling reproducible agent-driven experiments. Enhanced the evaluation harness with domain-specific rubrics, error injection, and robust context management. Integrated GLSL shader-based map visualization and improved rendering pipelines for astronomical data analysis. Refactored agent interaction logic to centralize verdict processing, increasing maintainability. Leveraged Python, Jupyter Notebooks, and JSON to deliver modular, testable workflows, while resolving repository hygiene issues and standardizing ground-truth data for consistent benchmarking and evaluation.
Overall Statistics
Feature vs Bugs
82%Features
Repository Contributions
49Total
Bugs
3
Commits
49
Features
14
Lines of code
136,384
Activity Months3
Your Network
9 peopleWork History
August 2025
1 Commits • 1 Features
Aug 1, 2025Concise monthly summary for 2025-08 focusing on CMBAgents/cmbagent: key feature delivered, impact, and skills demonstrated.
1 Commits • 1 Features
Aug 1, 2025Concise monthly summary for 2025-08 focusing on CMBAgents/cmbagent: key feature delivered, impact, and skills demonstrated.
August 2025
July 2025
39 Commits • 10 Features
Jul 1, 2025July 2025 monthly summary for CMBAgents/cmbagent: Delivered a cohesive VLM-based judging workflow with scalable routing, verdict management, and hands-on review tooling. Established a structured, machine-readable verdict schema and mandatory fields to ensure consistent handoffs. Enhanced the VLM evaluation harness with expanded evaluators, failure categorization, and domain-specific rubrics, plus injection-based perturbations to stress-test robustness. Produced agent-facing instructions and notebook examples to enable reproducible VLM-as-a-judge experiments. Implemented AstroVizBench automation to drive UID-based batch experiments, accelerating experimentation and benchmarking. Conducted notebook and ground-truth standardization work to align evaluation plots with CMB tasks. Resolved key repository hygiene issues, including merge conflicts in the one-shot work directory, improving stability for ongoing development.
July 2025
39 Commits • 10 Features
Jul 1, 2025July 2025 monthly summary for CMBAgents/cmbagent: Delivered a cohesive VLM-based judging workflow with scalable routing, verdict management, and hands-on review tooling. Established a structured, machine-readable verdict schema and mandatory fields to ensure consistent handoffs. Enhanced the VLM evaluation harness with expanded evaluators, failure categorization, and domain-specific rubrics, plus injection-based perturbations to stress-test robustness. Produced agent-facing instructions and notebook examples to enable reproducible VLM-as-a-judge experiments. Implemented AstroVizBench automation to drive UID-based batch experiments, accelerating experimentation and benchmarking. Conducted notebook and ground-truth standardization work to align evaluation plots with CMB tasks. Resolved key repository hygiene issues, including merge conflicts in the one-shot work directory, improving stability for ongoing development.
June 2025
9 Commits • 3 Features
Jun 1, 2025June 2025 performance highlights for CMBAgents/cmbagent: Key features delivered, major bugs fixed, and sustained business value through robust evaluation pipelines and visualization improvements.
9 Commits • 3 Features
Jun 1, 2025June 2025 performance highlights for CMBAgents/cmbagent: Key features delivered, major bugs fixed, and sustained business value through robust evaluation pipelines and visualization improvements.
June 2025
Activity
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Quality Metrics
Correctness84.8%
Maintainability83.0%
Architecture81.2%
Performance72.4%
AI Usage68.4%
Skills & Technologies
Programming Languages
GLSLJSONJavaScriptJupyter NotebookPythonYAML
Technical Skills
ADQL QueryingAI Agent DevelopmentAI AgentsAI EvaluationAI IntegrationAI Model TestingAI-assisted DevelopmentAI/MLAPI IntegrationAgent DevelopmentAlgorithmic TradingAstronomical Data AnalysisAstronomyAstropyAutomation
Repositories Contributed To
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