Key Skills

Software

CVAT

Sama

Top Subject Matter

Computer Vision

Conversational AI

Quality Assurance for Data Annotation

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Entity (NER) Classification

Classification

Freelancer Overview

Team Lead, AI Operations. Core strengths include CVAT, Google Dialogflow, and Sama. Education includes Diploma, Zetech University (2025). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, Entity (NER) Classification, and Classification.

Labeling Experience

Team Lead, AI Operations

TextEntity Ner Classification

I directed the creation and refinement of conversational AI training data, collaborating with engineering teams for interface improvements. My role involved orchestrating annotation, managing AI agent training datasets, and implementing QA protocols to deliver high-quality conversational data. I trained and supervised a large team to maintain consistent annotation standards and optimize workflow efficiency. • Built and managed annotation guidelines for conversational AI data labeling. • Oversaw team task prioritization and supervised data QA. • Leveraged Google Dialogflow and Copilot Studio for annotation and training. • Maintained 99%+ quality accuracy for all conversational annotation projects.

I directed the creation and refinement of conversational AI training data, collaborating with engineering teams for interface improvements. My role involved orchestrating annotation, managing AI agent training datasets, and implementing QA protocols to deliver high-quality conversational data. I trained and supervised a large team to maintain consistent annotation standards and optimize workflow efficiency. • Built and managed annotation guidelines for conversational AI data labeling. • Oversaw team task prioritization and supervised data QA. • Leveraged Google Dialogflow and Copilot Studio for annotation and training. • Maintained 99%+ quality accuracy for all conversational annotation projects.

2017 - Present

Team Lead, AI Operations

CVATImageBounding Box

I led computer vision and conversational AI training projects, specializing in bounding box, polygon, and semantic segmentation tasks. My work focused on managing high-impact annotation workflows using CVAT and Labelbox in collaboration with a team of 50+ specialists. I orchestrated annotation pipelines, implemented rigorous QA, and worked closely with engineering teams to ensure the highest data quality for AI training. • Specialized in bounding box, polygon, and semantic segmentation annotation. • Utilized CVAT and Labelbox for image and data annotation tasks. • Led a team of over 50 annotators, driving workflow improvements and QA enforcement. • Improved data accuracy from 92% to 99% and trained over 100 new hires on annotation standards.

I led computer vision and conversational AI training projects, specializing in bounding box, polygon, and semantic segmentation tasks. My work focused on managing high-impact annotation workflows using CVAT and Labelbox in collaboration with a team of 50+ specialists. I orchestrated annotation pipelines, implemented rigorous QA, and worked closely with engineering teams to ensure the highest data quality for AI training. • Specialized in bounding box, polygon, and semantic segmentation annotation. • Utilized CVAT and Labelbox for image and data annotation tasks. • Led a team of over 50 annotators, driving workflow improvements and QA enforcement. • Improved data accuracy from 92% to 99% and trained over 100 new hires on annotation standards.

2017 - Present

Quality Assurance Analyst (AI & Data)

SamaImageClassification

I conducted deep-dive audits of annotated datasets with an emphasis on spatial precision and adherence to client requirements. My responsibilities included identifying defect trends, proactively improving pipelines, and standardizing SOPs for annotation and QA tasks using Notion AI and similar tools. I also developed and delivered coaching modules focused on annotation improvements and best practices. • Performed QA on image and dataset annotations to ensure project compliance. • Utilized Excel, SQL, and Tableau/Power BI for data analysis and reporting. • Developed SOPs and training materials for annotation consistency. • Delivered feedback for continuous improvement in labeling accuracy.

I conducted deep-dive audits of annotated datasets with an emphasis on spatial precision and adherence to client requirements. My responsibilities included identifying defect trends, proactively improving pipelines, and standardizing SOPs for annotation and QA tasks using Notion AI and similar tools. I also developed and delivered coaching modules focused on annotation improvements and best practices. • Performed QA on image and dataset annotations to ensure project compliance. • Utilized Excel, SQL, and Tableau/Power BI for data analysis and reporting. • Developed SOPs and training materials for annotation consistency. • Delivered feedback for continuous improvement in labeling accuracy.

2016 - 2017

Education

Work History