Registering Rudrajit Tapadar from Symantec

Change-Id: I3abf1d3a0c1da5c5bee57127dc02cc56eb68e44c
Update affiliation for Michael Johnson(johnsom)

Change-Id: I4df056ff9e7073ac23b964f6930119da1122645b
Add Steve Lewis to default_data.json

Change-Id: I286d52e48e366ec9cf75c22a768564d759219aa9
Merge "Add Steve Lewis to default_data.json"
Add Jesse Proudman to default_data.json

Change-Id: I2de954994900878d04da900cfe266f8eeca01c38
Add Koichi Yoshigoe to default_data.json

Change-Id: Ia0b988507ba57f97a3963b8e3f739e80f847eb7d
added Miguel Grinberg to default_data.json

Change-Id: I6764731dd9fc62af3aa35e76d3a51506dd04c58d
Merge "Registering Rudrajit Tapadar from Symantec"
Merge "added Miguel Grinberg to default_data.json"
Add gessau committer info

Change-Id: Ie34aba14fd0eae506c1c433993cd20ef4f15c5de
Intern unicode strings comming from external storage

According to my findings, this saves ~0.5Gb of memory during load of
current dataset. I used Pympler to get data on most used object types,
unicode was the top one (columns are type, instance count, total memory
used):

  unicode 8058199 894651428

With this change numbers are:

  unicode 1312689 303504132

and unicode went to the 2nd place (after set). No other significant
changes noted.

Change-Id: I6ae02824071c95e11636c6e4a2ec3699ec3c365f
Add domain rakuten.com as Rakuten to default_data.json

Change-Id: I8a721a34e8969edd5cdfcaa44ed51b986b8da597
Merge "Intern unicode strings comming from external storage"
Merge "Add gessau committer info"
Add company affiliation for some HP folks

Change-Id: I0655061397d392869e25fa7263d123939ef5f744
Merge "Add company affiliation for some HP folks"
Adding Kentaro Sasaki to default_data.json

Change-Id: I404c774f1ffaf96cf4d450025ecf947932fca8b8
Updated default_data.json

Added thang-pham as committer and simplivity.com domain
to default_data.json.

Change-Id: I916449062886212f0cb10f4a885753858e5f2d33
Add boden committer info

Change-Id: Ie7558a0f5de2af288b66a7f1cfe9c680609dc116
Merge "Add boden committer info"