Mahesh G

Key Skills

Software

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Top Label Types

Computer Programming Coding

Freelancer Overview

I am an experienced data labeling and machine learning workflow specialist with over 5 years in the field, skilled in creating, validating, and managing high-quality datasets for AI/ML training across text, image, and audio domains. My expertise includes Python (Pandas, NumPy), Label Studio, automation frameworks, and cloud platforms like AWS and GCP. I have successfully led large-scale annotation projects, developed automation scripts for QA and data validation, and ensured data consistency and gold standard alignment for complex ML requirements. I am also adept at working with structured and unstructured data formats (JSON, XML, CSV), and have contributed open-source tools to help data engineers and developers streamline their workflows. My background in full-stack QA, ETL, and API testing, along with hands-on experience in AI agent evaluation and LLM/GenAI workflows, enables me to deliver reliable, production-ready datasets that drive model accuracy and performance.

Labeling Experience

Data Labeler

Label StudioComputer Code ProgrammingComputer Programming Coding

Project Title High-Quality Data Labeling & AI Response Evaluation for Model Training Project Description: I worked on data labeling and annotation tasks focused on improving the accuracy, consistency, and reasoning ability of AI models. My role involved carefully analyzing prompts, reviewing multiple model-generated responses, and selecting or refining outputs based on clarity, correctness, and adherence to instructions. I labeled data across different categories such as text classification, intent recognition, response ranking, and error identification Skills & Tools Used Data Labeling, Prompt Evaluation, Text Annotation, Response Ranking, Quality Assurance, Critical Thinking

Project Title High-Quality Data Labeling & AI Response Evaluation for Model Training Project Description: I worked on data labeling and annotation tasks focused on improving the accuracy, consistency, and reasoning ability of AI models. My role involved carefully analyzing prompts, reviewing multiple model-generated responses, and selecting or refining outputs based on clarity, correctness, and adherence to instructions. I labeled data across different categories such as text classification, intent recognition, response ranking, and error identification Skills & Tools Used Data Labeling, Prompt Evaluation, Text Annotation, Response Ranking, Quality Assurance, Critical Thinking

2022

Education

Work History