Sematic

Emmanuel Turlay, CEO at Sematic (a startup at seed stage, backed by YCombinator), asked me to design a web app where Sematic users can track all runs of all their machine learning pipelines, so that they can go into the details of any run they want to, e.g. a run that failed or was cancelled for some reason, see what happened, what the problems could be, fix them, and rerun the pipeline.

Since Emmanuel is a software engineer himself, he knew exactly what Sematic needs to provide developers working on machine learning pipelines, so I designed the web app based on his explanation of the problems to solve and information to provide, and he was happy with how the design turned out.

I tried to provide a lot of options when the user is trying to filter pipelines and runs, in order to find just the ones the user is interested in, and then when the user goes into the details of the run, to make it easy for user to understand how to see all the details about the run, how to find the execution graph, and how to rerun a pipeline, without issues of how to find something or how to find a "Rerun" button.

After the design was approved by Emmanuel, I was told that no more design work was needed for Sematic at the time, since that was all that was needed to be provided to the users via a web app, for the time being.