Shailendra S.

Key Skills

Software

Data Annotation Tech

Labelbox

Mindrift

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Text

Top Task Types

Computer Programming/Coding

Evaluation/Rating

Prompt + Response Writing (SFT)

Text Generation

Text Summarization

Freelancer Overview

My work as a freelancer at Outlier.AI, where I was in charge of creating high-quality training data for generative AI systems, gave me practical experience with AI training data and data labeling. By solving five to six challenging data annotation problems every day and using Python to automate AI response analysis, I was able to greatly increase the model outputs' accuracy and efficiency, increasing resolution accuracy by 15%. Additionally, I helped optimize datasets for more than 200 different queries every day, which improved model performance and customer satisfaction. My unique skill is fusing programming with real-world AI implementation, as evidenced by my projects like I have a solid technical background in Python, cloud/DevOps tools like AWS, Docker, and GitLab CI/CD, and machine learning tools like Scikit-learn and TensorFlow. What distinguishes me is my ability to integrate programming with real-world AI implementation, as evidenced by my projects like an AI Voice Chatbot driven by LLM and an LSTM model-based stock prediction app. These projects demonstrate my ability to create ML interfaces, optimize user interaction, and engineer data pipelines—all critical competencies in the ecosystem of AI training data.

Labeling Experience

AI trainer

Scale AIComputer Code ProgrammingQuestion AnsweringText Generation

As a freelancer at Outlier.AI, I was in charge of creating high-quality training data for generative AI systems, giving me practical experience with AI training data and data labeling. I greatly increased the effectiveness and precision of model outputs by solving five to six challenging data annotation problems every day and automating AI response analysis with Python, increasing resolution accuracy by 15%. Additionally, I helped improve model performance and customer satisfaction by fine-tuning datasets for more than 200 different queries every day.

As a freelancer at Outlier.AI, I was in charge of creating high-quality training data for generative AI systems, giving me practical experience with AI training data and data labeling. I greatly increased the effectiveness and precision of model outputs by solving five to six challenging data annotation problems every day and automating AI response analysis with Python, increasing resolution accuracy by 15%. Additionally, I helped improve model performance and customer satisfaction by fine-tuning datasets for more than 200 different queries every day.

2024 - 2024

Education

Work History