The following examples are anonymized and based on prior professional experience. Client and employer names are not disclosed to protect confidentiality.
A regulated financial services environment needed to improve AML data quality and reduce inefficient alert noise.
Designed and implemented an AI-supported compliance workflow with improved data validation, inference logic, and human oversight.
Improved data accuracy from 25% to 90% and reduced false-positive alert noise by 85%.
A financial institution needed to execute a complex core banking migration across multiple countries while protecting data quality and business continuity.
Led program governance, stakeholder coordination, migration planning, risk tracking, testing discipline, and execution oversight.
Supported a $3M migration across five countries with 98% data accuracy and no major business disruption.
The organization needed to improve business continuity and reduce recovery time after infrastructure disruption.
Supported cloud infrastructure modernization, disaster recovery planning, and resilience testing.
Reduced recovery-time objective from 48 hours to 8 hours.
Manual operational processes were slowing down service delivery and increasing error risk.
Mapped the workflow, identified automation opportunities, implemented practical automation, and improved governance controls.
Reduced processing cycle time by 87%.