AI Engineer for Compliance Monitoring & Risk Detection

This AI engineer specializes in developing compliance monitoring and risk detection systems that help businesses stay ahead of regulatory challenges. With expertise in AI-driven fraud detection, anomaly detection, and policy compliance automation, they design scalable solutions that reduce financial and legal risks for enterprises. By leveraging machine learning and NLP, they create systems that detect violations in real time, ensuring seamless compliance management.

• AI-Powered Regulatory Compliance Monitor
  
  Developed an NLP-based system that scans legal documents and policies to ensure compliance with global regulations. This tool helped businesses reduce manual compliance efforts by 65%, automating policy checks and flagging non-compliant actions in real time.
  
  Fraud & Anomaly Detection System
  
  Designed an AI-powered fraud detection model for financial institutions, using predictive analytics to detect suspicious transactions with 90% accuracy. This system reduced false positives and improved fraud identification speed.
  
  Automated Risk Scoring & Threat Detection
  
  Created a machine learning model that assigns risk scores to transactions and business processes, allowing enterprises to take proactive measures against potential threats. The system provided actionable insights that improved risk mitigation strategies by 50%.
  
  Data Privacy & Governance Automation
  
  Built an AI-based data governance solution that ensures organizations adhere to GDPR, HIPAA, and other compliance standards. This automation tool streamlined audits and reduced compliance-related operational costs by 40%.
  
  AI-Driven Insider Threat Detection
  
  Developed a deep learning model that identifies insider threats within an organization by analyzing employee activity logs and communication patterns, enhancing cybersecurity measures with a 75% threat detection rate.