diff --git a/examples/John_Doe_ClassicTheme_CV.yaml b/examples/John_Doe_ClassicTheme_CV.yaml index a6e4ed92..304049c8 100644 --- a/examples/John_Doe_ClassicTheme_CV.yaml +++ b/examples/John_Doe_ClassicTheme_CV.yaml @@ -62,8 +62,8 @@ cv: - Created a service to provide gradient across VS and VS add-ins, optimizing its performance via caching - Built an app to compute the similarity of all methods - in a codebase, reducing the time from $\mathcal{O}(n^2)$ - to $\mathcal{O}(n \log n)$ + in a codebase, reducing the time from $$\mathcal{O}(n^2)$$ + to $$\mathcal{O}(n \log n)$$ - Created a test case generation tool that creates random XML docs from XML Schema - Automated the extraction and processing of large datasets diff --git a/examples/John_Doe_EngineeringresumesTheme_CV.yaml b/examples/John_Doe_EngineeringresumesTheme_CV.yaml index f8cf6b94..2b0d3cb4 100644 --- a/examples/John_Doe_EngineeringresumesTheme_CV.yaml +++ b/examples/John_Doe_EngineeringresumesTheme_CV.yaml @@ -62,8 +62,8 @@ cv: - Created a service to provide gradient across VS and VS add-ins, optimizing its performance via caching - Built an app to compute the similarity of all methods - in a codebase, reducing the time from $\mathcal{O}(n^2)$ - to $\mathcal{O}(n \log n)$ + in a codebase, reducing the time from $$\mathcal{O}(n^2)$$ + to $$\mathcal{O}(n \log n)$$ - Created a test case generation tool that creates random XML docs from XML Schema - Automated the extraction and processing of large datasets diff --git a/examples/John_Doe_ModerncvTheme_CV.yaml b/examples/John_Doe_ModerncvTheme_CV.yaml index 62671a4d..be075f17 100644 --- a/examples/John_Doe_ModerncvTheme_CV.yaml +++ b/examples/John_Doe_ModerncvTheme_CV.yaml @@ -62,8 +62,8 @@ cv: - Created a service to provide gradient across VS and VS add-ins, optimizing its performance via caching - Built an app to compute the similarity of all methods - in a codebase, reducing the time from $\mathcal{O}(n^2)$ - to $\mathcal{O}(n \log n)$ + in a codebase, reducing the time from $$\mathcal{O}(n^2)$$ + to $$\mathcal{O}(n \log n)$$ - Created a test case generation tool that creates random XML docs from XML Schema - Automated the extraction and processing of large datasets diff --git a/examples/John_Doe_Sb2novTheme_CV.yaml b/examples/John_Doe_Sb2novTheme_CV.yaml index dbc0e8eb..f0de4170 100644 --- a/examples/John_Doe_Sb2novTheme_CV.yaml +++ b/examples/John_Doe_Sb2novTheme_CV.yaml @@ -62,8 +62,8 @@ cv: - Created a service to provide gradient across VS and VS add-ins, optimizing its performance via caching - Built an app to compute the similarity of all methods - in a codebase, reducing the time from $\mathcal{O}(n^2)$ - to $\mathcal{O}(n \log n)$ + in a codebase, reducing the time from $$\mathcal{O}(n^2)$$ + to $$\mathcal{O}(n \log n)$$ - Created a test case generation tool that creates random XML docs from XML Schema - Automated the extraction and processing of large datasets