Kareem M.

Key Skills

Software

No software listed

Top Subject Matter

Geospatial data processing

object annotation

and quality control for engineering mapping workflows.

Top Data Types

Text

Document

Top Task Types

Mapping

Classification

Freelancer Overview

Geospatial Data Quality Control Specialist - Micro Engineering Egypt. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Technology Education, Faculty of Technology and Education, Suez University (2027) and Diploma in Information Technology, Misr International Computer Academy & AI (2022). AI-training focus includes data types such as Geospatial, Tiled Imagery, and Geospatial Tiled Imagery and labeling workflows including Mapping and Classification.

Labeling Experience

Data Annotation Specialist

Classification

No description provided.

2025 - 2026

Geospatial Data Quality Control Specialist - Micro Engineering Egypt

Classification

Performed high-volume geospatial data quality control and raster/spatial classification support for engineering-grade outputs. Maintained a consistent accuracy rate while validating dataset integrity before it reached downstream pipelines. Worked in structured geospatial annotation platform workflows to ensure reliable 2D and 3D deliverables. • Verified static and dynamic geospatial object labels against QC standards • Flagged and prevented data integrity issues impacting downstream processing • Produced consistent throughput across maps, frames, and monthly targets • Applied raster processing and 2D/3D mapping requirements to spec

2025 - 2026

Data Annotation Specialist at Micro Engineering Egypt (MEEG) (Oct 2025 – Apr 2026).

Mapping

Annotated 200+ static and dynamic geospatial frames daily while maintaining a consistent 99.7% quality accuracy rate. Produced engineering-grade 2D and 3D raster outputs through structured object classification workflows. Performed continuous quality checks by catching and flagging data integrity issues before they reached downstream pipelines. • Labeled 200+ frames per day (static and dynamic objects) with near-zero labeling errors. • Reached 60 annotated maps per month consistently without sacrificing accuracy. • Enforced QC standards and validated data integrity for large geospatial datasets. • Supported raster data processing and spatial object classification for GIS/photogrammetry/CAD-style production.

2025 - 2026

Education

Work History