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S

Sai Pranav Vangala

AI Intern - Data Annotation & Validation

India flagHyderabad, India
IntermediateOther

Key Skills

Software

Other

Top Subject Matter

NLP Datasets
Sentiment Analysis
NLP/Text Data Labeling

Top Data Types

TextText
ImageImage

Top Task Types

Classification
Entity Ner Classification

Freelancer Overview

AI Intern - Data Annotation & Validation. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Technology, Vellore Institute of Technology Amaravati (2025) and Intermediate, Sri Chaitanya Junior Kalasala (2021). AI-training focus includes data types such as Text and labeling workflows including Classification and Entity (NER) Classification.

Intermediate

Labeling Experience

AI Intern - Data Annotation & Validation

OtherTextClassification
As an AI Intern, I performed data annotation and quality validation to prepare high-quality labeled datasets for machine learning workflows. I handled both structured and unstructured textual data, emphasizing accuracy for NLP-focused AI systems. My work ensured clean and reliable input data for downstream model performance. • Annotated text using sentiment, intent, and category labels • Validated and cleaned datasets before model integration • Followed provided annotation guidelines closely for consistency • Collaborated on NLP application development and dataset preparation.

As an AI Intern, I performed data annotation and quality validation to prepare high-quality labeled datasets for machine learning workflows. I handled both structured and unstructured textual data, emphasizing accuracy for NLP-focused AI systems. My work ensured clean and reliable input data for downstream model performance. • Annotated text using sentiment, intent, and category labels • Validated and cleaned datasets before model integration • Followed provided annotation guidelines closely for consistency • Collaborated on NLP application development and dataset preparation.

2025 - 2025

Text Annotation and Data Labeling Pipeline - Creator/Annotator

OtherTextEntity Ner Classification
I designed and implemented a data labeling pipeline for text classification and entity recognition tasks. I annotated textual data for categories such as sentiment and intent, generating high-quality datasets for AI models. My efforts improved dataset consistency and accuracy for NLP model training. • Developed processes for text labeling and normalization • Categorized data with predefined labels and NER tags • Validated and cleaned annotated text entries • Enhanced data quality for AI/ML model integration.

I designed and implemented a data labeling pipeline for text classification and entity recognition tasks. I annotated textual data for categories such as sentiment and intent, generating high-quality datasets for AI models. My efforts improved dataset consistency and accuracy for NLP model training. • Developed processes for text labeling and normalization • Categorized data with predefined labels and NER tags • Validated and cleaned annotated text entries • Enhanced data quality for AI/ML model integration.

2025

Project: Real-Time Stock Sentiment Analyzer - Data Labeler

OtherTextClassification
In the Real-Time Stock Sentiment Analyzer project, I processed and labeled textual data from news and Reddit sources. My labeling enabled effective sentiment classification crucial for model accuracy. I applied NLP techniques to classify texts for actionable business insights. • Labeled text for sentiment polarity (positive, negative, neutral) • Preprocessed and structured datasets for machine learning • Ensured annotation quality to boost prediction reliability • Supported NLP pipeline with annotated textual data.

In the Real-Time Stock Sentiment Analyzer project, I processed and labeled textual data from news and Reddit sources. My labeling enabled effective sentiment classification crucial for model accuracy. I applied NLP techniques to classify texts for actionable business insights. • Labeled text for sentiment polarity (positive, negative, neutral) • Preprocessed and structured datasets for machine learning • Ensured annotation quality to boost prediction reliability • Supported NLP pipeline with annotated textual data.

2025

Education

V

Vellore Institute of Technology Amaravati

Bachelor of Technology, Computer Science with Specialization in Artificial Intelligence and Machine Learning

Bachelor of Technology
2021 - 2025
S

Sri Chaitanya Junior Kalasala

Intermediate, Physics, Chemistry, and Mathematics

Intermediate
2019 - 2021

Work History

T

Tericsoft Technology Limited

AI Intern

Hyderabad
2025 - 2025