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Naga Malleswara Rao Pitchuka

Naga Malleswara Rao Pitchuka

AI Data Labeling Specialist

INDIA flag
hyderabad, India
$3.00/hrIntermediateInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText
VideoVideo

Top Label Types

Classification
Evaluation Rating
Object Detection

Freelancer Overview

My experience in AI training data encompasses a diverse range of tasks, from image and text annotation to sentiment analysis. A key strength lies in image classification and evaluation within projects like PEP-APAC. This involved meticulously reviewing images, applying policy guidelines, and making crucial approve/reject decisions to ensure high-quality and compliant datasets for model training. Additionally, experience includes text-based data labeling, including handwriting recognition and text classification. Handwriting recognition focused on accurately extracting individual letters from images and inputting handwritten names, a task requiring meticulous attention to detail. For text classification, texts were categorized into predefined labels such as entertainment, tech, politics, business, and sport, showcasing an understanding of Natural Language Processing (NLP) concepts. Experience also includes sentiment analysis of movie reviews, identifying whether a review conveyed a positive or negative sentiment. These projects highlight a commitment to producing high-quality labeled data that directly impacts the accuracy and reliability of AI models across various domains.

IntermediateTeluguHindiEnglish

Labeling Experience

data labeling

Internal Proprietary ToolingImageQuestion AnsweringObject Detection
1. PEP-APAC: need to approve or reject the image, based on policy guidelines and other criteria present in the Reference Material for particular task set. 2.Handwriting Recognition: Objective of the task is to extract letters from the image in the task and input the handwritten name in the given space. 3.Text Classification: Objective of this task is to select the most appropriate label (entertainment, tech, politics, business, sport) for the provided text. 4. Movie Reviews Sentiment Analysis: Objective of this task is to read and analyze the provided text to determine if it is a positive or negative movie review.

1. PEP-APAC: need to approve or reject the image, based on policy guidelines and other criteria present in the Reference Material for particular task set. 2.Handwriting Recognition: Objective of the task is to extract letters from the image in the task and input the handwritten name in the given space. 3.Text Classification: Objective of this task is to select the most appropriate label (entertainment, tech, politics, business, sport) for the provided text. 4. Movie Reviews Sentiment Analysis: Objective of this task is to read and analyze the provided text to determine if it is a positive or negative movie review.

2024

Education

S

SVL POLYTECHNIC COLLAGE

diploma, electronics and communication engineering

diploma
2006 - 2009

Work History

F

freelancer

freelance hardware engineer

doha
2018 - 2023
P

Prasad Film Laboratories

field technical assistant

hyderabad
2011 - 2015