Trump's ex-ally flags serious H-1B fraud in Texas

Former ally of US President Donald Trump, Marjorie Taylor Greene, has exposed a “serious H-1B visa fraud” in Texas, sharing a video by a social media influencer who claimed that hundreds of thousands of H-1B visa applications were cleared in the state in 2025. In a video she  focuses on Dallas-based attorney Chand Parvathaneni and alleges large-scale visa fraud tied to IT “shell companies”. The video says Parvathaneni has “approved” 700,000 H-1B applicants since 2020. In reality, immigration lawyers do not approve visas. H-1B petitions are approved or rejected by US Citizenship and Immigration Services (USCIS) not by attorneys. Lawyers only prepare and submit applications on behalf of employers.According to the influencer, the lawyer had approved around 4,00,000 H-1B applicants by 2024, with the number allegedly rising to about 7,00,000 approvals in Texas in 2025.

North Texas seems to have a serious H1B Visa fraud scam going. One immigration attorney brought in over 700K H1Bs in 2025 alone.

If Republicans were serious about stopping it, they would pass my bill HR 6937 to eliminate the H1B Visa program.

pic.twitter.com/BgCAgzzVHA

— Former Congresswoman Marjorie Taylor Greene???????? (@FmrRepMTG) January 14, 2026

Greene, who resigned from the US Congress earlier this month, amplified the allegation on social media, months after the Trump administration introduced new immigration rules, including a reported requirement of a $100,000 payment for a noncitizen to enter the United States on an H-1B visa. Websites such as MyVisaJobs shows that Parvathaneni has been associated with more than 20,000 Labour Condition Applications since around 2020. This is a high number for one attorney, but it can also be the staff's specialisation in employment-based immigration, particularly filings for IT
consulting and staffing firms in the Dallas-Fort Worth area.
However, these figures are not official findings. No government agency has labelled these filings fraudulent or assigned a suspicion score. The numbers appear to come from user-led analysis of public data rather than from the Department of Labour or USCIS.