never met a part of the stack I didn't like. sr. engineer at clique studios in chicago, perpetual creative hobbyist, bird friend, local gay agenda promoter. she/her. tips: https://ko-fi.com/carlymho
Probably the way you'd want to say that phrase is "a transgender native American," although with Native Americans and First Nations folks there's also sometimes other more specific culture- and language-specific gender terms.
In my workplace we talk about hiring for culture growth rather than culture fitβwhich is to say, what will someone we hire add to our environment in terms of unique experience and perspective? What things will they be able to share with co-workers? What things will they think of that we haven't already? A diverse group of engineers can better understand how a diverse group of users might engage with their end product, as well as the problems that they might run into. For example, we might have less incidents like facial recognition that only works well on white people. That article notes a study that says that facial recognition software made by Asian companies tends to work better on Asian facesβlikely because they're more aware of the differences between their own facial features and know to train the software on those points.
For further actions, you may consider blocking this person and/or reporting abuse
We're a place where coders share, stay up-to-date and grow their careers.
Probably the way you'd want to say that phrase is "a transgender native American," although with Native Americans and First Nations folks there's also sometimes other more specific culture- and language-specific gender terms.
In my workplace we talk about hiring for culture growth rather than culture fitβwhich is to say, what will someone we hire add to our environment in terms of unique experience and perspective? What things will they be able to share with co-workers? What things will they think of that we haven't already? A diverse group of engineers can better understand how a diverse group of users might engage with their end product, as well as the problems that they might run into. For example, we might have less incidents like facial recognition that only works well on white people. That article notes a study that says that facial recognition software made by Asian companies tends to work better on Asian facesβlikely because they're more aware of the differences between their own facial features and know to train the software on those points.