Ankush M.

Key Skills

Software

Other

Data Annotation Tech

Top Subject Matter

AI data annotation

LLM evaluation

content classification

Top Data Types

Text

Document

Top Task Types

Classification

Question Answering

Text Generation

Freelancer Overview

AI Data Annotation Practice (Sentiment/Intent labeling and LLM response evaluation). Brings 16+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Post Graduate Diploma in Business Administration, SCDL Pune and Bachelor of Technology, AIET Alwar. AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

AI Data Annotation Practice (Sentiment/Intent labeling and LLM response evaluation)

OtherTextClassification

Performed text labeling and classification tasks including sentiment and intent tagging, following structured guidelines to maintain consistency. Evaluated LLM-generated responses using criteria for accuracy, clarity, and helpfulness. Conducted dataset and workflow review to improve overall data quality and reduce inconsistencies. • Labeled 30+ text samples for sentiment (positive, negative, neutral) • Classified user queries into intent categories (purchase, research, support) • Evaluated 15+ AI-generated responses for accuracy, clarity, and helpfulness • Reviewed datasets to identify anomalies and improve quality

2023 - Present

Data Analysis & Experimentation with workflow/content evaluation (labeling-adjacent QA and categorization)

OtherText

Reviewed and categorized structured and unstructured data related to e-commerce, payments, and user interactions to improve system accuracy. Assessed transaction and workflow outputs to identify failure patterns and anomalies. Performed quality assurance to ensure consistency and reliability of labeled categories across scenarios. • Evaluated transaction data to identify failure patterns • Categorized user journeys and behavioral patterns • Reviewed structured and unstructured data for accuracy improvements • Assessed interaction flows and friction points for scenario testing

2022 - 2023

Education

Work History