openai/openai-cookbook
May 2025 – Aug 2025
2 Months active
Languages Used
MarkdownPythonYAMLJSONJupyter NotebookShell
Technical Skills
Code RefactoringData AnalysisData VisualizationFinancial AnalysisGitJupyter Notebooks
rajpathak-openai
PROFILE
Rajpathak-openai
Raj Pathak developed and enhanced AI-driven financial analysis and prompt engineering workflows in the openai/openai-cookbook repository. He built a multi-agent investment analysis notebook using Python and the OpenAI Agents SDK, implementing a hub-and-spoke architecture where a Portfolio Manager orchestrates specialist agents for fundamental, macro, and quantitative analysis. Raj improved notebook visuals and documentation to streamline onboarding and reproducibility. He also delivered prompt optimization notebooks for GPT-5, introducing benchmarking and evaluation techniques, memory profiling, and media-rich documentation. His work focused on code refactoring, data analysis, and technical writing, resulting in more reliable, maintainable, and accessible AI development resources.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
3
Lines of code
10,385
Activity Months2
Your Network
323 people
Work History
August 2025
5 Commits • 2 Features
Aug 1, 2025August 2025 (Month: 2025-08) – Delivered two major features in the openai/openai-cookbook focused on GPT-5 prompt engineering. (1) Comprehensive Prompt Optimization Notebook with evaluation benchmarks, providing baseline and optimized prompts for a Top-K frequent words task and a FailSafeQA benchmark, with improvements in efficiency, memory usage, and adherence to instructions. (2) Prompt Optimization Cookbook Notebook enhancements, improving readability and media assets (headings, images/videos/GIFs). No critical bugs reported or fixed this month. Impact: accelerated prompt-optimization experimentation, clearer guidance for practitioners, and improved onboarding for prompt-engineering workflows. Technologies/skills demonstrated: Python/Jupyter notebooks, benchmarking/evaluation, memory profiling, media asset management, documentation formatting, and Git-based collaboration.
5 Commits • 2 Features
Aug 1, 2025August 2025 (Month: 2025-08) – Delivered two major features in the openai/openai-cookbook focused on GPT-5 prompt engineering. (1) Comprehensive Prompt Optimization Notebook with evaluation benchmarks, providing baseline and optimized prompts for a Top-K frequent words task and a FailSafeQA benchmark, with improvements in efficiency, memory usage, and adherence to instructions. (2) Prompt Optimization Cookbook Notebook enhancements, improving readability and media assets (headings, images/videos/GIFs). No critical bugs reported or fixed this month. Impact: accelerated prompt-optimization experimentation, clearer guidance for practitioners, and improved onboarding for prompt-engineering workflows. Technologies/skills demonstrated: Python/Jupyter notebooks, benchmarking/evaluation, memory profiling, media asset management, documentation formatting, and Git-based collaboration.
August 2025
May 2025
3 Commits • 1 Features
May 1, 2025Concise monthly summary for 2025-05 focusing on key features delivered, major bugs fixed, impact, and technologies demonstrated for the openai/openai-cookbook repo. Emphasizes business value, reliability, and technical achievement in delivering an actionable AI demo and maintaining config quality.
May 2025
3 Commits • 1 Features
May 1, 2025Concise monthly summary for 2025-05 focusing on key features delivered, major bugs fixed, impact, and technologies demonstrated for the openai/openai-cookbook repo. Emphasizes business value, reliability, and technical achievement in delivering an actionable AI demo and maintaining config quality.
Activity
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Quality Metrics
Correctness97.6%
Maintainability95.0%
Architecture95.0%
Performance92.4%
AI Usage45.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPythonShellYAML
Technical Skills
BenchmarkingCode RefactoringContent UpdateData AnalysisData VisualizationDocumentationFinancial AnalysisGitJupyter NotebooksLLM AgentsLLM EvaluationLLM Prompt EngineeringMulti-Agent SystemsNotebook ManagementOpenAI API
Repositories Contributed To
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