approved EB-2 (NIW) RFE Issued

Data Scientist

Machine Learning · India · 2025-12-01

Processing Time
140 days
Decision Date
2025-12-01
Location
California
This case is from a publicly available case study. Case studies tend to feature successful outcomes and may not reflect the full range of petition results.

Proposed Endeavor

The petitioner proposes to develop trustworthy, efficient, and low-data multimodal AI systems using computationally lean, self-supervised techniques. This work focuses on enhancing digital personalization and supporting data-driven decision-making across public-sector applications. The endeavor aims to reduce data requirements and latency while improving the reliability of AI-generated recommendations.

Framework Evaluation

3 of 3 criteria met
1 Substantial Merit and National Importance Met

The endeavor addresses the urgent national need for transparent, efficient, and cost-effective AI technologies.

2 Well-positioned to Advance the Endeavor Met

The petitioner's publication record, citation count of 257, and role as a peer reviewer demonstrate his capability and influence in the field.

3 Waiver Benefit Met

On balance, it was found that waiving the job offer requirement would benefit the U.S. by supporting safer and more reliable AI systems.

Why This Petition Was Approved

The petition was approved based on the petitioner's record of 5 peer-reviewed conference papers, 1 journal article, and 257 citations. The case demonstrated that the work aligns with federal priorities for energy-efficient and auditable AI. Approval was further supported by the petitioner's completion of 15 peer reviews for leading AI venues, satisfying all three Dhanasar prongs.

Request for Evidence (RFE)

Successfully Addressed

The RFE was issued one month after filing; the response provided a clearer presentation of how the petitioner's work in multimodal AI met the Dhanasar criteria.

RFE Targets
Substantial Merit and National ImportanceWell-positioned to Advance the EndeavorWaiver Benefit

Evidence

Evidence Types
Peer Reviewed Publications
Citations
Conference Presentations
Judging Experience
Original Contributions
Government Alignment

Similar Cases

Software Engineer

Artificial Intelligence · China

WeGreened EB-2 (NIW) rfe approved
California 203 days 2025-07-09
The petitioner proposes to develop state-of-the-art AI algorithms and models for processing and interpreting video and multimodal data. This work integrates deep learning, computer vision, and natural language processing to create automated systems capable of learning from visual, textual, and auditory sources for applications in healthcare and environmental monitoring.

Machine Learning Engineer

Artificial Intelligence · India

WeGreened EB-2 (NIW) rfe approved
California 177 days 2025-07-07
The petitioner proposes to develop scalable and data-efficient AI systems that can be fine-tuned for critical sectors like healthcare, education, and manufacturing. The work focuses on optimizing performance in data-sparse domains and designing task-specific synthetic data strategies for large language models and vision-language models.

Machine Learning Engineer

Artificial Intelligence · China

WeGreened EB-2 (NIW) approved
California 42 days 2025-04-01
The petitioner proposes to develop multimodal recommender systems that integrate visual comprehension, natural language understanding, and conversational AI. The work focuses on enhancing user personalization and recommendation quality for applications in education, healthcare access, and digital equity. The endeavor aims to improve how users interact with AI-driven platforms through more effective search relevance and automated support.

Analyst

Others · Nepal

WeGreened EB-2 (NIW) approved
New Jersey 6 days 2024-01-24
The petitioner proposes to continue developing machine learning algorithms and minimal-code evaluation methods to enhance efficiency in data handling and recommendation systems. This work aims to significantly reduce computational costs and improve practical applications in critical sectors such as e-commerce and healthcare.

Frequently Asked Questions

A approved EB-2 NIW (I-140) petition means USCIS determined the petitioner met the eligibility requirements. For appealed cases, "sustained" means the appeal reversed a prior denial. The petitioner can proceed to the next step in the immigration process.

Browse More Cases

Case data sourced from publicly available petition decisions and case studies. Decision date: 2025-12-01.

Browse all cases
View Original

At a Glance

Outcome approved
Processing 140 days
RFE Issued
Criteria Met 3 / 3
Evidence Types 6

EB-2 (NIW) Case Data

Scraped Case Data

Total Cases 3,895
Success Rate 54.2%
Sustained 2,112
Dismissed 1,687

Get Case Insights

Compare your profile against thousands of real petition outcomes. Join the waitlist for personalized analysis.

Join Waitlist