Ranat Das Prangon

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Labelbox

Mercor

OneForma

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Video

Top Task Types

Bounding Box

Classification

Computer Programming Coding

Object Detection

Text Generation

Freelancer Overview

I have a strong background in AI-driven systems, machine learning, and data processing, with hands-on experience in developing and deploying solutions that rely on high-quality training data. My academic research has focused on computer vision and remote sensing, including projects where I performed data pre-processing, annotation, and feature engineering for fire risk assessment and intrusion detection using CNNs. I am skilled in Python, TensorFlow, PyTorch, and Scikit-learn, and have worked extensively with both field and satellite data, as well as image and text datasets. My experience spans building and optimizing machine learning models, hyperparameter tuning, and ensuring data quality for robust AI performance. I am passionate about leveraging my technical and analytical skills to contribute to impactful AI projects that depend on accurate and well-labeled data.

Labeling Experience

Image Annotator

LabelboxImageBounding BoxPolygon

Worked with datasets ranging from hundreds of images, maintaining strict quality standards through careful attention to annotation guidelines. Utilized Labelbox's platform tools to efficiency manage workflow, track project and deliver high quality labeled data.

Worked with datasets ranging from hundreds of images, maintaining strict quality standards through careful attention to annotation guidelines. Utilized Labelbox's platform tools to efficiency manage workflow, track project and deliver high quality labeled data.

2025 - 2025

Response Evaluator

Scale AIComputer Code ProgrammingRLHFEvaluation Rating

Crafted challenging prompts based on various file formats to identify failure models in SOTA LLMs. Also, developed the correct response and detailed rubrics to evaluate LLM outputs.

Crafted challenging prompts based on various file formats to identify failure models in SOTA LLMs. Also, developed the correct response and detailed rubrics to evaluate LLM outputs.

2025 - 2025

Education

Work History