Govardhan H L

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Text Generation

Text Summarization

Translation Localization

Data Collection

Transcription

Freelancer Overview

I am an AI and data science enthusiast with hands-on experience in data annotation, labeling, and validation for machine learning projects. My background includes working on real-time AI systems such as phishing URL detection and intrusion detection, where I have extracted, labeled, and cleaned complex datasets, performed feature engineering, and evaluated model outputs with a focus on accuracy and quality. I am skilled in Python, Pandas, NumPy, and use tools like VS Code, Git, and MS Excel to efficiently manage data workflows. My strengths include attention to detail, logical reasoning, and a commitment to producing high-quality datasets for AI model improvement. I am eager to contribute my analytical skills and technical expertise to support the development and refinement of AI training data.

Labeling Experience

Data Labelling

AppenTextText GenerationText Summarization

Worked on AI data annotation and evaluation tasks across machine learning and NLP-based projects. Performed structured labeling and classification of text and cybersecurity-related datasets including URL patterns, network traffic records, and generated text outputs. Annotated data according to predefined guidelines, categorized samples into relevant classes, and validated model predictions. Conducted text generation and summarization evaluation by reviewing AI responses for accuracy, coherence, logical consistency, and relevance. Applied quality control measures such as double-checking edge cases, removing noisy data, maintaining annotation consistency, and ensuring high precision in labeling decisions. Handled both structured and unstructured datasets while following strict project guidelines and timelines.

Worked on AI data annotation and evaluation tasks across machine learning and NLP-based projects. Performed structured labeling and classification of text and cybersecurity-related datasets including URL patterns, network traffic records, and generated text outputs. Annotated data according to predefined guidelines, categorized samples into relevant classes, and validated model predictions. Conducted text generation and summarization evaluation by reviewing AI responses for accuracy, coherence, logical consistency, and relevance. Applied quality control measures such as double-checking edge cases, removing noisy data, maintaining annotation consistency, and ensuring high precision in labeling decisions. Handled both structured and unstructured datasets while following strict project guidelines and timelines.

2024

Education

Work History