AI Data Operations with 6+ years of experience enhancing the reliability, safety, and compliance of AI systems through high-precision data operations. I specialize in human-in-the-loop validation, domain-expert classification, and AI output quality assurance for high-stakes applications including cybersecurity, fraud prevention, blockchain investigation, and regulatory compliance.
I have delivered measurable outcomes such as improving fraud detection accuracy, increasing regulatory model precision, and streamlining AI-human feedback loops. I collaborate closely with engineers, analysts, and product teams to refine classification logic, reduce false positives, and ensure audit-ready datasets.
I excel in judgment-driven data work, evaluating ambiguous content, identifying risk patterns, and producing explainable datasets that organizations trust. My approach combines a research-driven mindset with practical implementation of AI automation, chatbot deployment, and workflow integration using tools like n8n, Docker, Appsmith, and Glide. This allows teams to improve AI decision-making, enhance threat intelligence systems, and maintain data integrity in fast-moving, regulated environments.
Core Expertise & Skills
AI Quality & Data Operations
AI Automation, Chatbot Deployment & Workflow Integration
AI Systems Evaluation & Risk Management
Human-in-the-Loop Validation & Domain-Expert Classification
GIS & Aerial Imagery Analysis
Real Estate Data Analysis and Lead Generation
Dataset Quality Assurance & Integrity
AI Output Evaluation & Error Analysis
Large-Scale Dataset Management
Risk, Security & Compliance
Fraud & Scam Detection
Cybersecurity & Threat Intelligence Classification
Blockchain & Web3 Risk Analysis
Regulatory & Legal Document Analysis
Compliance Dataset Creation & Audit Readiness
