Aannya G.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

GenAI pipelines for contextual QA and agentic AI

Client document verification and structured response logging

Legal Services & Contract Review

Top Data Types

Document

Text

Image

Top Task Types

Question Answering

Data Collection

Segmentation

Classification

Freelancer Overview

Gen AI Intern at Xebia IT Architects Pvt. Ltd. (Present). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Technology, Bennett University (2026) and Central Board of Secondary Education (Class 12), Maxfort School (2022). AI-training focus includes data types such as Document and Text and labeling workflows including Question Answering, Data Collection, and Segmentation.

Labeling Experience

Gen AI Intern at Xebia IT Architects Pvt. Ltd. (Present)

Don't discloseDocumentQuestion Answering

Built Retrieval-Augmented Generation (RAG) pipelines for contextual question answering by implementing document ingestion, chunking, embeddings, and semantic retrieval using LLM-based workflows. Experimented with agentic AI frameworks and prompt engineering to enable multi-step reasoning, tool usage, and automated task execution. Focused on generating and validating AI responses grounded in retrieved knowledge for improved contextual accuracy. • Implemented ingestion and chunking strategies for knowledge sources • Designed embedding and semantic retrieval flows for question answering • Developed prompt-engineering approaches for agentic multi-step execution • Tested workflows for contextual response quality

2025 - Present

GenAI Intern - Xebia It Architects Pvt Ltd

TextSegmentationClassification

Developed Retrieval-Augmented Generation (RAG) pipelines for contextual question answering by implementing document ingestion, chunking, embeddings, and semantic retrieval using LLM-based workflows. Experimented with agentic AI frameworks and prompt engineering techniques to build intelligent systems that support multi-step reasoning and tool usage. Collaborated on building workflows that automate parts of task execution while maintaining relevance and accuracy of retrieved context using modern NLP/LLM tooling. • Designed and implemented document ingestion and chunking strategies for RAG • Built embeddings and semantic retrieval components using LLM workflows • Prototyped agentic systems with prompt engineering for multi-step execution • Evaluated and refined contextual QA performance and retrieval quality

2024 - Present

Case Analysis Intern at Springworks

OtherDocumentData Collection

Supported case-analysis verification workflows by validating client documents and coordinating with internal teams to resolve discrepancies. Maintained and verified client records to ensure data accuracy and compliance with company standards. Gathered and logged structured customer responses to improve service quality and reporting accuracy. • Verified and validated documents for data accuracy • Coordinated with internal teams to resolve inconsistencies • Logged structured customer responses for reporting • Ensured compliance with company data standards

2025 - 2026

Education

Work History