Meet the Author & the Minds Behind the Pages
What happens when an AI engineer with over 35 granted AI patents, multiple published books in artificial intelligence, machine learning, and data engineering—and who successfully secured an EB1A green card without a PhD or a single scholarly article or citation—applies that same innovation to decoding the U.S. green card system?
You get this book series.
If you’re serious about self-petitioning and want to use the same level of strategic insight used by Silicon Valley startups and global AI labs, this is your playbook.
-Deepak Gowda
What Drives Us
Our Team built patented AI algorithms that now power insights across thousands of USCIS case decisions—including hard-to-access records from AAO (Administrative Appeals Office) appeals. We didn’t just look at the surface. We reverse-engineered patterns, scored adjudication narratives, and extracted what really leads to EB-1A,EB2-NIW or EB5 approval—or denial.
Just like mining for gold, we sifted through legal noise and dug deep into what USCIS really values.
This book distills those findings into:
- Proven frameworks that mirror how USCIS actually evaluates petitions.
- Real-world examples of both success and failure to help you avoid hidden traps.
- Templates, checklists, and storytelling models that work even if you don’t have a PhD or an Attorney.
What Sets Our Books Apart
- Every book is built from real USCIS case data, including AAO decisions, RFE trends, and approval language.
- You’ll find cartoon-style narratives, step-by-step tools, and real case breakdowns—all written by someone who’s walked the path.
- Step-by-step tools, checklists, and templates to build strong, lawyer-free petitions
- We break down complex green card criteria into clear strategies that work—without legal jargon