Bonny G.

Key Skills

Software

Google Cloud Vertex AI

Other

Top Subject Matter

Legal documentation for M&A AI model training and digital metadata compliance

EXIF metadata verification

image dataset QA

Top Data Types

Document

Image

Text

Top Task Types

Data Collection

Freelancer Overview

Independent Technical Consultant — AI Infrastructure Support & Legal Data Validation (Gilbert Digital Consulting). Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Google Cloud Vertex AI and Other. Education includes Bachelor of Science, University of North Carolina at Chapel Hill. AI-training focus includes data types such as Document and Image and labeling workflows including Data Collection, Evaluation, and Rating.

Labeling Experience

Independent Technical Consultant — AI Infrastructure Support & Legal Data Validation (Gilbert Digital Consulting)

Google Cloud Vertex AIDocumentData Collection

Led high-stakes legal document collection and categorization to support AI model training for mergers and acquisitions (M&A) use cases. Ensured submissions met strict technical metadata requirements and maintained 100% compliance with platform guidelines for digital assets. Collaborated with global data infrastructure partners to prepare high-fidelity inputs for downstream AI validation workflows. • Collected, organized, and categorized sensitive M&A documents for legal AI training • Verified and validated associated digital metadata for compliance • Coordinated data submission readiness with external platforms and stakeholders • Managed high-priority data submissions with zero rejection rates

2024 - Present

Digital Asset Specialist — Technical Quality Assurance & Metadata Engineering (International Crowdsourcing Platforms)

OtherImage

Performed technical quality assurance and evaluation of digital assets destined for AI platforms, with a consistent “Gold Standard” accuracy rating. Conducted deep-dive analysis of EXIF metadata from digital photography to ensure data integrity for neural network training sets. Refined and validated data to meet rigorous safety and formatting standards required by cutting-edge AI systems. • Cleared qualification assessments (Uolo v2 Intl and Hibiscus) for task eligibility • Assessed digital asset quality and accuracy for AI platform readiness • Verified EXIF metadata integrity for training datasets • Ensured data safety and correct formatting for AI ingestion

2023 - 2025

Education

Work History