Svyat Grishin

Key Skills

Software

Labelbox

Prodigy

Top Subject Matter

No subject matter listed

Top Data Types

Image

Medical Dicom

Text

Top Task Types

Data Collection

Entity Ner Classification

Prompt Response Writing SFT

Freelancer Overview

I am an analytical and detail-oriented researcher with a strong background in biomedical science, data analysis, and AI. Although I am new to data labeling and AI training, my experience in bioinformatics, computational modeling, and large-scale data processing has equipped me with the precision and problem-solving skills necessary for this field. I have worked on research projects involving both structured and unstructured data, ensuring accuracy in sequencing analysis, variant classification, and machine learning applications in life sciences. My expertise in statistics, programming (Python, R, Java), and big data processing enables me to efficiently annotate, validate, and refine datasets for AI models. Additionally, my experience with cognitive architectures like ACT-R and Nengo, as well as knowledge representation through OWL ontologies, provides a solid foundation for understanding AI workflows. I am excited to apply my analytical skills and attention to detail in producing high-quality training data for the development of robust AI systems.

Labeling Experience

Text Annotation for Sentiment Analysis

ProdigyText

Participated in a project that involved annotating a large corpus of text data for sentiment analysis. The goal was to label sentences based on their sentiment (positive, negative, neutral). I also handled entity recognition for key phrases and product mentions within the text.

Participated in a project that involved annotating a large corpus of text data for sentiment analysis. The goal was to label sentences based on their sentiment (positive, negative, neutral). I also handled entity recognition for key phrases and product mentions within the text.

2024 - 2024

Image Classification and Object Detection Project

LabelboxImage

Worked on a large-scale data labeling project involving the classification and annotation of images for a computer vision application. The project required labeling images into specific categories, identifying and bounding objects of interest, and tagging them with appropriate metadata.

Worked on a large-scale data labeling project involving the classification and annotation of images for a computer vision application. The project required labeling images into specific categories, identifying and bounding objects of interest, and tagging them with appropriate metadata.

2024 - 2024

Education

Work History