Earlier today BehindMLM published its
Teqra review
.

Based on the rented office template we’ve seen time and time again, we held strong suspicions that Teqra CFO Jan Haagen was a hired actor.

Within eight hours of publication a reader confirmed Haagen was indeed a Russian actor.

Here’s Teqra’s “Jaan Haagen”:

Meet Georges Devdariani, the actor who plays him:

For comparison, here’s a video of Devdariani
selling himself as an actor
. I don’t speak Russian so no idea what he’s saying.

Full credit to BehindMLM reader
Rob 🎈
, who claims he identified Devdariani via a “face search”.

As per his profile above, Devdariani studied his craft in the Netherlands.

In 2015 Devdariani “improved his qualifications” at the Konstantin Raikin Graduate School of Performing Arts.

When he’s not playing fictional Ponzi executives, Devdariani has
held various acting roles
.

No word yet on who Teqra’s CEO “Frederick Glaesser” is.

It’s worth noting that Beurax’s CFO “Susan Pope”, was
played by Ksenia Berelet
– also a graduate of the Konstantin Raikin Graduate School of Performing Arts.

There could be a connection there.

Organized crime crossed over with Russian actors, driven to desperation during a global pandemic. What a time to be alive.

Update 23rd May 2021 – 
Teqra has
collapsed
.

🤖 Quick Answer

Who is Jan Haagen, Teqra's CFO?
Jan Haagen, presented as Teqra's Chief Financial Officer, was identified as Georges Devdariani, a Russian actor. The identification occurred within eight hours of BehindMLM's publication of its Teqra review, confirmed by a reader using facial recognition technology.

What is Georges Devdariani's background?
Georges Devdariani is a Russian actor who studied performing arts in the Netherlands and later completed qualifications at the Konstantin Raikin Graduate School of Performing Arts in 2015. He maintains a professional actor profile for commercial work and representation purposes.

How was the identity deception discovered?
BehindMLM initially suspected Jan Haagen was a hired actor based on patterns of rented office templates. A reader subsequently confirmed the suspicion through facial recognition comparison, matching images of Teqra

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