For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
A
Atharva Patil

Atharva Patil

Data Annotation and Validation for Privacy-Aware RAG Framework

India flagBelgaum, India
$5.00/hrEntry LevelInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

Privacy-aware Retrieval Augmented Generation (RAG) frameworks
Food and nutrition datasets for AI nutrition query systems

Top Data Types

DocumentDocument
TextText

Top Task Types

ClassificationClassification
Text SummarizationText Summarization
Text GenerationText Generation

Freelancer Overview

I’m a Computer Science student with practical experience in data annotation and validation, gained through building a privacy-aware RAG system. I’ve worked with different types of data, especially documents, and focused on keeping labeling accurate and consistent. I’m comfortable using internal tools and handling data carefully, and I’m interested in contributing to AI training tasks like classification and data labeling.

Entry LevelEnglishGermanKannadaHindi

Labeling Experience

Data Curation and Annotation for CalFit AI Calorie Tracker

DocumentClassification
I managed structured food and nutrition datasets for AI-driven applications. My responsibilities included accurate logging, validation, and annotation of user data to support AI features. I ensured data consistency and quality for effective AI-assisted nutrition queries. • Managed and curated nutrition datasets in Supabase. • Labeled and validated user food entry data. • Integrated datasets for AI-supported nutrition analysis. • Ensured high annotation quality and dataset accuracy.

I managed structured food and nutrition datasets for AI-driven applications. My responsibilities included accurate logging, validation, and annotation of user data to support AI features. I ensured data consistency and quality for effective AI-assisted nutrition queries. • Managed and curated nutrition datasets in Supabase. • Labeled and validated user food entry data. • Integrated datasets for AI-supported nutrition analysis. • Ensured high annotation quality and dataset accuracy.

Not specified

Data Annotation and Validation for Privacy-Aware RAG Framework

DocumentClassification
I handled structured document data and was responsible for masking sensitive information prior to processing. My tasks included ensuring annotation quality and accurate information retrieval from datasets. I paid close attention to data accuracy, privacy, and validation throughout the annotation process. • Masked sensitive data in documents before embedding. • Validated accuracy and consistency of annotated data. • Ensured proper citations in information retrieval. • Focused on maintaining structured document handling and privacy.

I handled structured document data and was responsible for masking sensitive information prior to processing. My tasks included ensuring annotation quality and accurate information retrieval from datasets. I paid close attention to data accuracy, privacy, and validation throughout the annotation process. • Masked sensitive data in documents before embedding. • Validated accuracy and consistency of annotated data. • Ensured proper citations in information retrieval. • Focused on maintaining structured document handling and privacy.

Not specified

Education

V

VTU

Bachelor of Technology, Computer Science Engineering

Bachelor of Technology
2021

Work History

C

canibals media

digital content strategy

belgaum
2025 - 2025