Doctor found guilty of perverting justice after trying to frame love rival

Posted On 06 Sep 2021 at 2:34 pm

A jury has convicted a Brighton doctor who faked text messages and screenshots to sabotage his flatmate’s relationships.

Javed Saumtally

Javed Saumtally was convicted unanimously of perverting the course of justice by a jury at Hove Crown Court this afternoon (Monday 6 September).

His trial was told that Saumtally, 28, was “devious”, “determined” and “technologically adept” in spinning a web of lies.

Saumtally, who spent six years at Brighton and Sussex Medical School, created bogus screenshots and a false report to police, jurors were told.

The doctor, now a GP living in Ipswich, in Suffolk, pleaded not guilty. He is due to be sentenced by Judge Jeremy Gold on Monday 18 October.

Janet Weeks, defending, said that there were “simply too many unanswered questions” in the case and had urged jurors to find her client not guilty.

But earlier in the trial, Jonathan Atkinson, prosecuting, said that Saumtally was “motivated by his own feelings” for his flatmate Ben Gough. They first met when they were living in Brighton.

Mr Atkinson said that Saumtally set about “sending abusive and derogatory messages from unknown numbers” to Mr Gough.

He also sent messages to himself, Mr Atkinson added, “no doubt to make it look like he was also a victim and to deflect attention away from him.”

Saumtally denied faking text messages when he gave evidence at the trial.

It was suggested to him that he was jealous of his flatmate, having previously had a brief relationship with him.

Saumtally said that this was not the case, arguing that they had been clear that he was eventually moving to Ipswich and that the relationship had an end date.

In his closing speech, Mr Atkinson said: “He was devious, he was determined and technologically adept. No one else stood to gain.

“He had the motive. He had the means throughout these incidents. He created false exhibits and he lied to police.”

Leave a Reply


This site uses Akismet to reduce spam. Learn how your comment data is processed.