Yamini Chilukuri

Key Skills

Software

Scale AI

OneForma

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Video

Top Label Types

Audio Recording

Classification

Computer Programming Coding

Evaluation Rating

Prompt Response Writing SFT

Text Generation

Transcription

Freelancer Overview

I am a software engineer with a strong background in Python, backend systems, and machine learning workflows, with direct experience in building, testing, and evaluating data-driven solutions. My work includes designing and validating APIs for reliable data handling, implementing robust logic for data validation and edge-case management, and systematically testing outputs to ensure accuracy—skills that translate well to data labeling, annotation, and AI training data quality assurance. I have hands-on experience with NLP techniques such as TF-IDF and cosine similarity, as demonstrated in my plagiarism checker project, and am adept at using tools like Pandas, Scikit-learn, and Power BI for data processing and visualization. My approach emphasizes clear documentation, structured problem solving, and strong communication, making me well-suited for roles focused on improving and evaluating AI data pipelines.

Labeling Experience

AI Generalist / Quality Analyst

Scale AITextPrompt Response Writing SFT

As an AI Generalist/Quality Analyst, I refined AI-generated responses to ensure clarity, factual accuracy, and alignment with human reasoning. Prompts and responses were created and iterated across multiple task formats. Consistent quality standards were applied to ensure high-quality outputs. • Evaluated clarity and accuracy of AI responses. • Created iterative prompts for tasks like Q&A. • Identified and addressed model failure patterns. • Ensured standards were consistently applied.

As an AI Generalist/Quality Analyst, I refined AI-generated responses to ensure clarity, factual accuracy, and alignment with human reasoning. Prompts and responses were created and iterated across multiple task formats. Consistent quality standards were applied to ensure high-quality outputs. • Evaluated clarity and accuracy of AI responses. • Created iterative prompts for tasks like Q&A. • Identified and addressed model failure patterns. • Ensured standards were consistently applied.

2023

AI Research Intern – Smart Campus Project

OneformaTextEvaluation Rating

During the AI Research Internship, I contributed to data annotation and validation workflows for an AI-driven research project. The role involved developing human-readable prompts and ensuring model output usability and coherence. I supported quality control processes and collaborated on iterative improvements. • Involved in annotation and validation workflows. • Developed prompts for AI content usability. • Ensured coherence of model outputs. • Helped in quality control processes.

During the AI Research Internship, I contributed to data annotation and validation workflows for an AI-driven research project. The role involved developing human-readable prompts and ensuring model output usability and coherence. I supported quality control processes and collaborated on iterative improvements. • Involved in annotation and validation workflows. • Developed prompts for AI content usability. • Ensured coherence of model outputs. • Helped in quality control processes.

2022 - 2023

Education

Work History