About
ML Data Associate with 1+ year of experience at Amazon AWS Bedrock evaluating AI-generated visual outputs and maintaining high-fidelity editorial standards. Experienced in AI prompt engineering, artifact detection, visual validation, and large-scale content production workflows. Strong expertise in assessing spatial accuracy, material realism, object proportion, Image generation, and shadow alignment to deliver high-quality, production-ready imagery while meeting strict quality and throughput targets.
Skills & Expertise (11)
Work Experience
ML Data Associate I
Amazon (AWS Bedrock)
Nov 2024 - Present
Collaborated with cross-functional ML teams using Amazon annotation tools, Appen, and SageMaker to consistently exceed benchmarks in quality, throughput, and task completion. Refined generative AI systems with 97 percent annotation accuracy while maintaining 99 percent compliance with ethical AI standards. Executed daily quality audits and trending of defects, identifying root causes and coordinating with stakeholders to drive sustained improvements. Managed audit-ready documentation and large datasets, ensuring timely delivery through systematic work order tracking and case management. Delivered targeted quality feedback and led calibration sessions, improving first-pass accuracy and reducing rework by 12%. Performed liveness video classification using computer vision techniques to verify authenticity in identity verification workflows. Evaluated 250+ outputs of the AI model with 95 scoring consistency while monitoring system performance. Led process improvement initiatives that increased audit quality scores and reduced recurring defects through troubleshooting techniques and technical support.
Education
Bachelor of Technology – Electronics & Communication Engineering - St. Martins Engineering College
2020 - 2024 · Afghanistan
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Open to Relocation
