Professional Summary
Accomplished and meticulous Data Annotation and Workload Assignment Supervisor with 2+ years of specialized experience delivering mission-critical datasets for AI and autonomous vehicle systems. Expert in 3D labeling, quality assurance, and workflow optimization, consistently achieving 99%+ accuracy across large-scale operations. Recognized leader in orchestrating cross-functional teams, streamlining operations, and implementing continuous improvement initiatives that elevate performance and data quality. Instrumental in advancing next-generation AI solutions, including Cruise AV and cutting-edge autonomous driving technologies.
Professional Experience
Workload Assignment Supervisor
Micro Engineering Tech Inc.
October 2025 – Present
- Lead and oversee the Workload Assignment (WLA) team across all operational shifts, ensuring seamless task transitions, equitable workload distribution, and continuous project coverage.
- Manage end-to-end workload allocation for multiple AI and data annotation initiatives, sustaining high operational efficiency and consistent on-time delivery.
- Deploy capacity planning and performance optimization frameworks that decreased project delays by 30%.
- Create real-time dashboards and comprehensive performance analytics to monitor critical metrics and workflow efficiency across all shifts.
- Execute SOP refinements and deliver targeted training programs for 25+ team members, enhancing productivity, precision, and cross-shift alignment.
Workload Assignment Specialist
Micro Engineering Tech Inc.
May 2024 – October 2025
- Coordinated end-to-end processing of client task queues across diverse AI projects, ensuring streamlined workflows and punctual task delivery.
- Enhanced resource allocation through data-driven capacity planning methodologies, yielding a 30% improvement in operational efficiency.
- Engineered and maintained operational dashboards to track performance indicators for cross-functional teams, including Quality Control and Team Leadership.
- Spearheaded SOP revisions and conducted hands-on training for 25+ employees, driving workflow consistency and operational scalability.
Quality Control Lead
Micro Engineering Tech Inc.
October 2023 – May 2024
- Supervised quality assurance (QA) operations for autonomous vehicle labeling initiatives, ensuring adherence to client specifications and internal data standards.
- Performed root cause analyses on recurring labeling discrepancies, elevating dataset accuracy by 22%.
- Developed and implemented QA protocols for high-stakes projects including Cruise AV, establishing industry best practices in data validation and reliability.
Data Annotation Specialist
Micro Engineering Tech Inc.
May 2023 – October 2023
- Generated 800+ high-precision 3D annotations daily for LiDAR and radar datasets with exceptional accuracy.
- Partnered with ML engineers to optimize labeling guidelines, improving model training effectiveness and detection precision.
- Consistently surpassed productivity and quality benchmarks, achieving 120%+ of established performance targets.
Education
Bachelor of Arts – Ain Shams University
Faculty of Arts
2017 – 2021 | Graduated with Very Good Honors
Skills & Competencies
Technical Skills
- GULP Suite
- Supervisely
- Quality Metrics Tracking
- Microsoft Office Suite
- Excel, Word, PowerPoint
Languages
- Arabic (Native)
- English (Good)
Core Competencies
- Agile Workflow Optimization
- Dataset Validation
- Team Leadership
- Process Improvement
- ML Data Preparation
- Technical Documentation
Projects
Performance Dashboard
An interactive dashboard developed using Google Sheets and Apps Script, designed to provide comprehensive insights into team productivity. It elegantly visualizes key metrics such as total working hours, seconds per label (SPL), daily and monthly performance trends, and individual contributions through dynamic charts, tables, and advanced filtering capabilities.
Quality Dashboard
A sophisticated quality assurance dashboard built with Google Sheets and Apps Script, focused on monitoring and analyzing data annotation accuracy. It delivers in-depth visualizations of quality scores, error rates, discrepancy analyses, auditor performance, and compliance metrics via interactive charts, detailed reports, and customizable filters to drive continuous improvement.