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Md Ausaf

Md Ausaf

Text Annotation for Sentiment Analysis - Personal Project

India flagLucknow, India
$15.00/hrEntry LevelSuperannotateClickworkerOneforma

Key Skills

Software

SuperAnnotateSuperAnnotate
ClickworkerClickworker
OneFormaOneForma
RemotasksRemotasks

Top Subject Matter

Sentiment Analysis
Code Review for AI Evaluation and Training

Top Data Types

TextText
VideoVideo
DocumentDocument

Top Task Types

ClassificationClassification
Text GenerationText Generation
RLHFRLHF
TranscriptionTranscription
Data CollectionData Collection

Freelancer Overview

Text Annotation for Sentiment Analysis - Personal Project. Core strengths include N and A. Education includes Bachelor of Computer Applications, Integral University (2023). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Classification, Evaluation, and Rating.

Entry LevelEnglishHindiBhojpuriUrdu

Labeling Experience

Code Review Practice - LLM Prompting and Evaluation

I regularly review and evaluate code snippets in Python, Java, and SQL based on correctness and style. My process involves creating structured prompts that simulate large language model (LLM) training and evaluation scenarios. These practices support the development and improvement of coding standards for AI training purposes. • Analyzed and rated code according to industry best practices. • Developed and tested prompts for generative AI and LLM workflows. • Created a reference database of code review findings and annotated issues. • Enhanced awareness of model evaluation and code quality criteria in AI contexts.

I regularly review and evaluate code snippets in Python, Java, and SQL based on correctness and style. My process involves creating structured prompts that simulate large language model (LLM) training and evaluation scenarios. These practices support the development and improvement of coding standards for AI training purposes. • Analyzed and rated code according to industry best practices. • Developed and tested prompts for generative AI and LLM workflows. • Created a reference database of code review findings and annotated issues. • Enhanced awareness of model evaluation and code quality criteria in AI contexts.

2023 - Present

Text Annotation for Sentiment Analysis - Personal Project

TextClassification
I built a labeled dataset by manually annotating over 500 text samples for sentiment as either positive or negative. The annotation process followed robust guidelines to ensure consistency and improve data quality for training sentiment classification models. I evaluated model performance changes as a result of data labeling accuracy to understand its impact in the ML pipeline. • Designed clear annotation guidelines and processes for sentiment labeling. • Categorized each text sample based on emotional tone and polarity. • Improved training data with systematic manual review and error reduction. • Assessed annotation impact on supervised model metrics like precision and recall.

I built a labeled dataset by manually annotating over 500 text samples for sentiment as either positive or negative. The annotation process followed robust guidelines to ensure consistency and improve data quality for training sentiment classification models. I evaluated model performance changes as a result of data labeling accuracy to understand its impact in the ML pipeline. • Designed clear annotation guidelines and processes for sentiment labeling. • Categorized each text sample based on emotional tone and polarity. • Improved training data with systematic manual review and error reduction. • Assessed annotation impact on supervised model metrics like precision and recall.

2023 - 2023

Education

I

Integral University

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

Bachelor of Computer Applications
2023

Work History

S

Soul AI

Image Annotation

Lucknow
2024 - 2024