A Machine-Learning Research Engineer
Our firm was retained by a doctoral-level engineer working in industry to prepare an EB-2 self-petition with a request for a national interest waiver, in the field of algorithms for large-scale record matching and text search. The petition approved.
The endeavor was narrow enough that an officer could easily read it as a technical specialty of interest to one employer rather than an endeavor of national importance. We closed that gap in both directions — upward, by placing the work inside the federal government's own designated critical and emerging technology categories and the published national strategies on artificial intelligence and advanced computing; and downward, by tracing his named, peer-reviewed papers to the production system built on them, to the scale that system operates at, with thousands of client organizations including some of the largest U.S. corporations.
For the balancing prong we documented what a labor certification structurally cannot capture: five expert letters, from his current engineering leadership, the founder of the company whose technology he built, U.S.-based engineers at major technology firms, and his doctoral supervisor, each speaking to how few people work in this specialty.
The petition was supported by exhibits documenting every factual statement in the letter. The result: an approved EB-2 with a national interest waiver, and a client continuing his work in the United States.