Nicholas A.

Key Skills

Software

Data Annotation Tech

Labelbox

Top Subject Matter

Multimodal AI training data (aerial imagery, retail datasets, conversational banking, geospatial AI)

AI data pipeline automation and preprocessing for labeling/model training

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Segmentation

Data Collection

Freelancer Overview

Data Annotator & AI Trainer | Independent / Course Projects. Brings 12+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Label Studio and Don't disclose. Education includes Higher National Diploma, Petroleum Training Institute, Effurun (2017). AI-training focus includes data types such as Geospatial, Tiled Imagery, and Computer Code and labeling workflows including Segmentation and Data Collection.

Labeling Experience

Python Automation Developer (AI Data Pipelines) | Freelance / Upwork

Don't discloseData Collection

Built AI training data preparation pipelines by extracting and preprocessing structured outputs from JSON, CSV, and APIs. Implemented REST/API integrations and automation workflows to support repeatable data pipeline operations for machine learning training. Performed data cleaning, normalization, and deduplication using Python and Pandas to maintain high dataset quality. • JSON/CSV preprocessing for training data preparation • API integrations to connect data sources • Automation-managed workflows for dataset updates • Pandas-based cleaning, normalization, and deduplication

2025 - Present

Data Annotator & AI Trainer | Independent / Course Projects

Label StudioSegmentation

Performed semantic segmentation on aerial and satellite imagery using polygons and masks for land-use classification use cases. Annotated object detection datasets with bounding boxes and labeled text-based data for intent classification tasks in conversational banking scenarios. Labeled georeferenced aerial imagery (GeoTIFF and world-file formats) to support geospatial AI training datasets. • Semantic segmentation (polygons & masks) on aerial/satellite imagery • Object detection (bounding boxes) for retail inventory/product tracking • Intent classification for chatbot utterances using Label Studio • Conversational AI labeling with structured JSON dialogue data

2025 - Present

Education

Work History