Success Stories: A Machine Learning Expert from China Wins NIW Case Approval in Just 10 Days, Thanks to Our Team’s Help and Premium Processing Upgrade
Client’s Testimonial:
“Thanks for your consistent assistance during the whole process.”
On March 2nd, 2023, we received another EB-2 NIW (National Interest Waiver) approval for a Machine Learning Expert in the Field of Machine Learning (Approval Notice).
General Field: Machine Learning
Country of Origin: China
State of Residence at the Time of Filing: Washington
Approval Notice Date: March 2nd, 2023
Processing Time: 10 days (Premium Processing Requested)
Case Summary:
When an expert in machine learning came to NAILG for his National Interest Waiver application, we knew the route we had to take in order to win him the approval. Some of the key factors in this journey to victory were:
- His proposed endeavor was to work on utilizing intelligent resource allocation and developing machine learning-based algorithms in order to enhance system efficiency and robustness for cloud resource management in data centers and e-commerce recommendation systems.
- His research proposal was of great importance because e-commerce platforms rely on ranking and recommendation systems to personalize user experiences. In 2023, it is expected that roughly 20% of all sales will come through e-commerce, totaling $6.3 trillion in revenue worldwide.
- This proposal also had broad implications for the United States where there are over 230 million people that use e-commerce platforms for their shopping needs. This translates to approximately 70% of the population and underscores the extent to which e-commerce has become a staple form of transaction in the United States economy.
- Due to its clear national importance, his research has in fact been supported with funding from the National Science Foundation, which is a major government agency, and the National Natural Science Foundation of China.
- He has also completed 4 reviews and published 4 peer-reviewed journal articles (2 of them first-authored) and 11 conference papers(8 of them first-authored). These publications have also been cited a total of 105 times according to Google Scholar, thereby demonstrating that these publications are widely recognized and relied upon in the field of machine learning.
- Furthermore, he had been pursuing research directly related to his proposed endeavor of improving system efficiency and robustness for cloud resource management in data centers and e-commerce recommendation systems for 9 years.
- And to tie it all up, his research had been supported by letters of recommendation from 2 experts who understood the value of his work for the nation.
So, when we had completed our task of filing his petition, and upgraded the case through premium processing, we waited for 10 days before getting the approval that our client deserved.
We are proud of having worked with him and we are happy to have been a part of his journey to success.

