Hi Sutirtha,
yes you can definitely do time series classification with Ludwig.
Assuming your 621 columns are numbers at different times, you'll have to combine them in a single column with space delimiters. Like three columns with values 4, 2, 1 will become "4 2 1".
Then you have to give a name to the this new column and the last output one, like "ts" and "class", by adding the headers.
Finally, train a model by specifying a model definition like "{input_features: [{name: ts, type: timeseries}], output_features: [{name: class, type: category}]}". Beware to specify the maximum length of the timeseries in the preprocessing parameters as the default value is 256 I believe, so your timesereis may be truncated if you don't do it.
You can find both the preprocessing and details on the encoders you can use in the User Guide.