Ekkelly A.

Key Skills

Software

iMerit

Other

Top Subject Matter

AI/ML training data evaluation and dataset quality assurance

Computer vision dataset curation and segmentation for generative AI

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Segmentation

Bounding Box

Classification

Object Detection

Freelancer Overview

Independent Consultant (AI data evaluation/consultation) | iMerit Scholars Community. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include iMerit and Other. Education includes Bachelor of Technology, MLR Institute of Technology (2026). AI-training focus includes data types such as Image and labeling workflows including Evaluation, Rating, and Segmentation.

Labeling Experience

Independent Data Evaluation Consultant - iMerit Scholars Community

ImageBounding BoxSegmentation

Provided high-quality data evaluation and consultation to support complex artificial intelligence and machine learning training workflows. Completed rigorous technical assessments to join an exclusive network of AI data specialists. Ensured data accuracy, model validation, and compliance with annotation guidelines using strong analytical and problem-solving skills. • Performed data evaluation for AI/ML training pipeline inputs • Advised on data quality and model validation approaches • Applied analytical methods to ensure accurate and guideline-compliant outputs • Supported end-to-end workflow adherence for training readiness

2025 - 2025

Independent Consultant (AI data evaluation/consultation) | iMerit Scholars Community

iMeritImage

Provided high-quality data evaluation and consultation for complex AI/ML training workflows to ensure model readiness and compliance with annotation guidelines. Assessed dataset quality, model validation signals, and accuracy requirements to support downstream training performance. Collaborated on requirements and technical assessment outcomes for entry into an exclusive AI data specialist network. • Data evaluation and quality checks for AI/ML training pipelines • Model validation and adherence to annotation guidelines • Technical assessment completion for AI data specialists • Ensuring data accuracy for training workflows

2025 - 2025

Project: Aesthetix AI - Generative Interior Design (dataset curation & segmentation)

OtherImageSegmentation

Curated and processed a specialized image dataset to support training of a custom generative interior design AI adapter. Used segmentation models to generate precise visual masks and spatial annotations for improved style transfer quality. Performed critical evaluation of model outputs against aesthetic baselines to refine training data and the end-to-end workflow. • Image dataset curation and preprocessing for training • Object segmentation with SAM and SegFormer for masks and annotations • Spatial/visual masking and refinement for style transfer • Evaluation of generated outputs to improve dataset quality and fidelity

2024 - 2025

Education

Work History