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C

Charan Konduru

AI Data Annotator

USA flag
Buffalo, Usa
$25.00/hrIntermediateOtherAws SagemakerHivemind

Key Skills

Software

Other
AWS SageMakerAWS SageMaker
HiveMindHiveMind
Google Cloud Vertex AIGoogle Cloud Vertex AI
MercorMercor

Top Subject Matter

Toxic Comment Detection
Nlp Domain Expertise
Social Media Moderation

Top Data Types

TextText
ImageImage
AudioAudio

Top Task Types

Classification
Text Generation
Object Detection
Fine Tuning
Transcription
Data Collection
Computer Programming Coding
Function Calling
Evaluation Rating
Text Summarization
Segmentation
Entity Ner Classification
Point Key Point

Freelancer Overview

I have experience working with data labeling and AI training workflows through hands-on projects in machine learning and NLP. In my toxic comment classification project, I worked extensively on preparing and cleaning text data, handling class imbalance, and ensuring high-quality labeled datasets for model training. This included tasks like preprocessing noisy user-generated content, validating labels, and structuring datasets for supervised learning. I also gained exposure to evaluation processes by comparing multiple models and analyzing performance metrics such as precision, recall, and F1-score, which are critical in assessing label quality and model reliability. Additionally, I have experience building data pipelines and working with large-scale datasets using Python, SQL, and AWS tools like Glue and Athena. In my NYC Taxi Demand Prediction project, I engineered features, validated data consistency, and ensured data quality before training models like LightGBM. My background in data engineering and analytics, combined with an understanding of machine learning workflows, allows me to contribute effectively to AI training tasks that require attention to detail, structured thinking, and high-quality data annotation.

IntermediateEnglish

Labeling Experience

Toxic Comment Classification AI Training & Annotation

OtherTextClassification
Developed a multi-label classification system to identify toxic comments in a large dataset of online text. Leveraged advanced transformer models (BERT, DeBERTa-v3, LLaMA-2) to annotate and classify 160K+ comments by toxicity type and severity. Applied Multi-Label SMOTE to address extreme class imbalance and enhance rare class detection. • Built label definition and annotation schema for toxicity detection, including rare categories. • Implemented manual review and evaluation of automatic toxic comment predictions. • Tuned models based on labeling outcomes to increase minority class F1-scores. • Facilitated QA and correction of misclassified or ambiguous toxic comments.

Developed a multi-label classification system to identify toxic comments in a large dataset of online text. Leveraged advanced transformer models (BERT, DeBERTa-v3, LLaMA-2) to annotate and classify 160K+ comments by toxicity type and severity. Applied Multi-Label SMOTE to address extreme class imbalance and enhance rare class detection. • Built label definition and annotation schema for toxicity detection, including rare categories. • Implemented manual review and evaluation of automatic toxic comment predictions. • Tuned models based on labeling outcomes to increase minority class F1-scores. • Facilitated QA and correction of misclassified or ambiguous toxic comments.

2024 - 2024

Education

G

Gayatri Vidya Parishad College of Engineering

Bachelor of Technology, Computer Science

Bachelor of Technology
2020 - 2024
S

State University of New York at Buffalo

Master of Science, Data Science

Master of Science
2024

Work History

I

International Sibling Society

Data Science Intern

Las Vegas
2026 - Present
R

Rashtriya Ispat Nigam Limited

Data Scientist

Visakhapatnam
2023 - 2024