Yamini

Key Skills

Software

Scale AI

Toloka

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Text

Top Label Types

Audio Recording

Evaluation Rating

Prompt Response Writing SFT

Text Summarization

Transcription

Freelancer Overview

I am passionate about working with data to enable smarter AI systems, with hands-on experience delivering data-driven solutions in both academic and industry settings. My background includes developing and deploying machine learning models, integrating APIs, and building analytics tools that rely on high-quality, well-structured data. I have worked on projects such as a plagiarism checker using NLP techniques (TF-IDF and cosine similarity) and a smart campus IoT app where I managed data pipelines and analytics reporting. My technical toolkit includes Python, SQL, Power BI, Pandas, and Scikit-learn, and I am adept at data preprocessing, annotation, and ensuring data integrity for AI/ML workflows. I thrive in collaborative environments, learn quickly, and am committed to delivering accurate and reliable training data for AI applications.

Labeling Experience

AI Generalist / Quality Analyst

TolokaTextEvaluation Rating

Evaluated AI-generated responses for clarity, factual accuracy, and human reasoning alignment. Created and iterated prompt-response pairs for various task formats including Q&A and summaries. Identified model failure patterns such as hallucinations and instruction misalignment. Created consistent quality standards for large-scale datasets. • Involved in prompt engineering for clear AI responses. • Worked on quality standards across extensive datasets. • Identified model issues and failures. • Refined AI-generated content as per feedback.

Evaluated AI-generated responses for clarity, factual accuracy, and human reasoning alignment. Created and iterated prompt-response pairs for various task formats including Q&A and summaries. Identified model failure patterns such as hallucinations and instruction misalignment. Created consistent quality standards for large-scale datasets. • Involved in prompt engineering for clear AI responses. • Worked on quality standards across extensive datasets. • Identified model issues and failures. • Refined AI-generated content as per feedback.

2023

AI Research Intern

Scale AITextEvaluation Rating

Contributed to AI-driven research with tasks in data annotation, validation, and transcription workflows. Assisted in developing prompts and reviewing the usability of model outputs. Supported quality control for structured AI datasets and colloborated on improvements. Enhanced AI content using iterative feedback processes. • Assisted in quality control processes. • Developed readable prompts for models. • Worked on annotation and validation tasks. • Collaborated on AI-driven initiatives.

Contributed to AI-driven research with tasks in data annotation, validation, and transcription workflows. Assisted in developing prompts and reviewing the usability of model outputs. Supported quality control for structured AI datasets and colloborated on improvements. Enhanced AI content using iterative feedback processes. • Assisted in quality control processes. • Developed readable prompts for models. • Worked on annotation and validation tasks. • Collaborated on AI-driven initiatives.

2022 - 2023

Education

Work History