Key Skills

Software

CVAT

LabelImg

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Geospatial Tiled Imagery

Image

Video

Top Task Types

Mapping

Object Detection

Polygon

Segmentation

Tracking

Freelancer Overview

I am a Multimodal Data Annotation Specialist and Geospatial Analyst proficient in delivering high-accuracy training datasets across computer vision, video, text (NLP), and geospatial modalities. I am skilled in using industry-standard open-source tools, including CVAT, Label Studio, and LabelImg. My technical edge comes from my background as a geomatics engineer (intern), where I merged Python/automation scripting with GIS software (ArcGIS/QGIS) to achieve extreme precision in data verification and coordinate systems (UTM, Minna Datum). This experience directly translates to superior quality control (QA) and efficiency in complex labeling tasks like 3D bounding boxes, semantic segmentation, and aerial image analysis. I specialize in projects demanding meticulous attention to detail and complex guidelines, such as search and rescue imagery and technical investigative reviews. My dual focus on automation (reducing data preparation time by 70% in a previous role) and meticulous QA (honed through regulatory compliance work) ensures I consistently provide not just labeled data, but clean, validated, and pipeline-ready ground truth essential for training robust AI models.

Labeling Experience

Education

Work History