DoorDash delivery driver pleads guilty to stealing $2.5 million in deliveries scam
- Sayee Chaitanya Reddy Devagiri, a DoorDash delivery driver, pleaded guilty Tuesday to conspiring to steal over $2.5 million in San Jose federal court.
- Devagiri and three others used stolen employee credentials between 2020 and 2021 to manipulate DoorDash’s systems and file false delivery reports.
- They placed high-value orders using customer accounts, reassigned them to fake driver accounts, and caused DoorDash to pay for undelivered orders repeatedly.
- Devagiri faces a maximum 20-year prison sentence and a $250,000 fine, with a status hearing set for September 16, 2025, before Judge Beth Labson Freeman.
- This case marks the third conviction related to the conspiracy, which was investigated by the FBI and involved multiple co-defendants pleading guilty or awaiting trial.
Insights by Ground AI
Does this summary seem wrong?
140 Articles
140 Articles
All
Left
29
Center
69
Right
7
DoorDash Driver Stole Over $2.5M From Company: Authorities
DoorDash Driver Stole Over $2.5M From Company: Officials - San Francisco, CA - He would place expensive orders through customer accounts and then use employee credentials to manipulate DoorDash software, officials said.
·United States
Read Full ArticleCalifornia DoorDash driver pleads guilty to stealing $2.5M in deliveries scam
A former food delivery driver faces a maximum of 20 years in prison for conspiring with others to steal more than $2.5 million from DoorDash by getting the company to pay for deliveries that never occurred.
·Los Angeles, United States
Read Full ArticleDoorDash delivery driver pleads guilty to stealing US$2.5mil in deliveries scam
A former food delivery driver pleaded guilty to conspiring with others to steal more than US$2.5mil (RM10.72mil) from DoorDash by getting the company to pay for deliveries that never occurred, US federal prosecutors said. Read full story
·Malaysia
Read Full ArticleCoverage Details
Total News Sources140
Leaning Left29Leaning Right7Center69Last UpdatedBias Distribution66% Center
Bias Distribution
- 66% of the sources are Center
66% Center
L 28%
C 66%
Factuality
To view factuality data please Upgrade to Premium