
Chibuike is a chartered accountant (ACA) with audit experience at PwC and is currently completing his MBA at the Rotman School of Management, University of Toronto. His background in financial analysis, audit methodology, and data-driven decision-making directly informs Burlington Consult's salary criterion framework.
Chibuike leads Burlington's proprietary salary analytics methodology — the framework used to satisfy the "high salary relative to peers in the field in relevant country" criterion. This criterion is one of the most frequently challenged by USCIS and one of the most powerful when properly evidenced.
His approach benchmarks client compensation against independently verifiable salary data across the relevant geography, industry, and seniority level — producing documentation that withstands USCIS scrutiny and, critically, RFE challenge. The framework has a 100% success rate on the salary criterion across every petition where it has been deployed.
The salary criterion isn't about earning a lot. It's about proving you earn significantly more than your peers — with data USCIS can independently verify.