Greedy BANKING FRAUDSTER CYBERCRIMINAL raw/cbi employees lived in posh well maintained houses after ruthlessly ROBBING, CHEATING single woman engineer

In one of india’s greatest CYBERCRIME, banking fraud rackets raw/cbi are falsely claiming that their lazy greedy fraud employees who have never invested any money in domains, do not do computer work, own the paypal, bank account, domains of a private citizen, single woman engineer who is paying a huge amount for domains, is CRIMINALLY DEFAMED in the worst manner to cover up the government SLAVERY, banking, financial fraud
This exposes the extreme DISHONESTY, GREED of high status, respectable LIAR raw/cbi employees who are ruthlessly CHEATING, EXPLOITING a hardworking single woman engineer who they are aware is working more than 10 hours daily without a holiday yet is CRIMINALLY DEFAMED as idle, lazy.
the shameless lazy liar greedy raw/cbi employees are falsely claiming that they are doing the computer work, when the raw/cbi employees are actually mostly COOKING, CLEANING for crooked husbands who control them, arrange for data theft , cybercrime , bribes for government officials
Since they get a very good monthly government salary for FAKING bank account, domain ownership, without spending any time and money , the raw/cbi employees have plenty of time and money to take good care of their house, so their houses are posh and well maintained
To cover up the government SLAVERY, the LIAR government agencies are falsely claiming that the single woman engineer is a proxy for government employees like the cheater puneet who HATE her, when there is no connection at all.
This government SLAVERY racket since 2010, exposes the ruthlessness of the rich, powerful, high status, respectable raw/cbi employees in CHEATING, ROBBING the single woman engineer who they hate, these DOMAIN FRAUDSTER raw/cbi employees will pay their maidservant money for the work she does like cleaning, yet refuse to acknowledge the computer work the single woman engineer is doing, instead falsely claiming credit using stolen data when they do not spend time and getting monthly government salaries at the expense of the single woman