Lakshmi Narayana Gudhe

Key Skills

Software

Google Cloud Vertex AI

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Top Label Types

RLHF

Evaluation Rating

Computer Programming Coding

Data Collection

Prompt Response Writing SFT

Freelancer Overview

I have hands-on experience as an AI Trainer, where I reviewed and refined AI model outputs to ensure the accuracy and quality of generated data. My role involved providing detailed feedback and documenting insights to support model improvements and the overall training process. I am skilled in prompt engineering, generative AI, and have worked with tools such as Azure AI and GitHub Copilot. My technical background as a full stack developer allows me to understand complex data structures and workflows, and I am passionate about leveraging AI to enhance productivity. I thrive in Agile environments, collaborating with cross-functional teams to deliver high-quality solutions, and am committed to maintaining high standards of data integrity and annotation quality.

Labeling Experience

AI Trainer

Google Cloud Vertex AIComputer Code ProgrammingRLHFEvaluation Rating

As an AI Trainer at Outlier.ai, I reviewed and refined AI-generated outputs to ensure their quality and accuracy. I provided structured feedback and documented detailed insights to facilitate ongoing model improvements. My work supported critical AI model training processes in an agile environment. • Refined AI-generated text data for accuracy and relevance. • Evaluated AI outputs using established guidelines and criteria. • Documented feedback to assist in continuous model optimization. • Collaborated with remote teams to align AI outputs with project objectives.

As an AI Trainer at Outlier.ai, I reviewed and refined AI-generated outputs to ensure their quality and accuracy. I provided structured feedback and documented detailed insights to facilitate ongoing model improvements. My work supported critical AI model training processes in an agile environment. • Refined AI-generated text data for accuracy and relevance. • Evaluated AI outputs using established guidelines and criteria. • Documented feedback to assist in continuous model optimization. • Collaborated with remote teams to align AI outputs with project objectives.

2023 - 2025

Education

Work History