Marvin G.

Key Skills

Software

Other

Top Subject Matter

AI training

image object recognition and classification

NLP sentiment and intent classification

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Classification

Freelancer Overview

Image Annotation Practice (practice/project experience). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Ethical Hacker, Cisco Networking Academy and Windows and Linux Operating Systems, Cisco Networking Academy. AI-training focus includes data types such as Image, Text, and Document and labeling workflows including Bounding Box, Classification and Evaluation.

Labeling Experience

Data Review & Quality Improvement Project

OtherDocument

Conducted data review and quality improvement by inspecting datasets for duplicates, mislabeled entries, and formatting inconsistencies. Ensured overall data integrity through systematic checks aligned with quality standards. Supported preparation of cleaner, higher-quality training data for AI workflows. • Identified duplicate records within datasets • Detected mislabeled entries and formatting inconsistencies • Performed quality checks to improve data integrity • Improved readiness of datasets for annotation and AI training

2023 - Present

Text Classification Practice (practice/project experience)

OtherTextClassification

Practiced text classification by organizing and classifying text data into predefined categories using structured guidelines. Applied sentiment analysis and intent classification schemas to help support NLP model training tasks. Focused on maintaining inter-annotator consistency and producing reliably labeled text examples. • Organized text-based data into predefined categories • Applied sentiment analysis and intent classification schemas • Followed structured guidelines for consistent labeling • Aimed to improve inter-annotator consistency for NLP training

2023 - Present

Image Annotation Practice (practice/project experience)

OtherImageBounding Box

Worked on image annotation practice to support object recognition and classification tasks using consistent tagging across diverse visual data. Performed bounding box annotation and polygon segmentation, including multi-class labeling aligned with standard annotation frameworks. Completed dataset labeling focused on accuracy, consistency, and quality for AI training workflows. • Labeled and categorized image datasets for object recognition and classification • Applied consistent tagging across varied visual inputs • Used bounding box and polygon segmentation annotation techniques • Performed multi-class labeling for downstream model training

2023 - Present

Education

Work History