Key Skills

Software

AWS SageMaker

CloudFactory

CVAT

Data Annotation Tech

Google Cloud Vertex AI

HiveMind

Label Studio

OpenCV AI Kit (OAK)

Playment

Remotasks

V7 Labs

Scale AI

Labelbox

Top Subject Matter

AI Training and Data Annotation for NLP and Machine Learning Models

Biomedical Research and CRISPR Technology Applications

Data Analysis and Statistical Modeling in Tech and Academia

Top Data Types

Computer Code Programming

Document

Text

Top Task Types

Classification

Computer Programming Coding

Data Collection

Diagnosis

Mapping

Freelancer Overview

I am an experienced professional specializing in AI training data and data labeling, with a proven track record of contributing to cutting-edge machine learning and natural language processing projects. With over 5 years of expertise in data analysis, annotation, and statistical modeling, I have honed my skills in meticulously curating and labeling large datasets to improve the accuracy and performance of AI models. My proficiency in Python, SQL, and data visualization tools, combined with experience in developing data annotation frameworks, ensures high-quality and scalable AI solutions. Notable projects include developing a robust data annotation framework that significantly enhanced machine learning model accuracy and conducting research on CRISPR technology for medical applications. My multidisciplinary background, including a Master’s in Computer Science and expertise in bioengineering and data science, enables me to tackle complex challenges with precision and innovation. My ability to bridge technical expertise with effective communication makes me a valuable asset in AI training and data labeling initiatives.

Labeling Experience

High-Precision Text Annotation for NLP Model Training

LabelboxTextEntity Ner ClassificationText Summarization

Designed and implemented a text annotation framework for training NLP models, focusing on NER, classification, summarization, and RLHF tasks. Leveraged tools like Labelbox, to ensure efficient and accurate data labeling. This work improved model performance in entity recognition and text generation.

Designed and implemented a text annotation framework for training NLP models, focusing on NER, classification, summarization, and RLHF tasks. Leveraged tools like Labelbox, to ensure efficient and accurate data labeling. This work improved model performance in entity recognition and text generation.

2020 - 2024

Education

Work History