Balaji Karakatti

Key Skills

Software

AWS SageMaker

Appen

CVAT

Labelbox

Top Subject Matter

Image Classification

Segmentation Domain Expertise

LLM Dataset Enhancement

Top Data Types

Document

Geospatial Tiled Imagery

Image

Text

Video

Top Task Types

Bounding Box

Object Detection

Text Generation

Segmentation

Classification

Question Answering

Text Summarization

Entity (NER) Classification

Polygon

Freelancer Overview

Analyst AI/ML Practice - Semantic Segmentation and QA. Core strengths include Multimango, AWS SageMaker, and Labelbox. AI-training focus includes data types such as Image and Text and labeling workflows including Segmentation, Entity (NER) Classification, and Bounding Box.

Labeling Experience

Analyst AI/ML Practice - Semantic Segmentation and QA

ImageSegmentation

Oversaw semantic segmentation annotations to ensure pixel-level labeling for image classification and segmentation models. Carried out quality assurance and validation reviews of image datasets for AI/ML training. Managed systematic checks to enhance accuracy and reduce rework in annotation workflows. • Acted as QA reviewer to verify annotation outputs against defined requirements • Achieved 95%+ accuracy in labeling through rigorous validation • Supported LLM projects by reviewing and correcting annotated samples • Provided feedback and corrections to maintain dataset integrity

Oversaw semantic segmentation annotations to ensure pixel-level labeling for image classification and segmentation models. Carried out quality assurance and validation reviews of image datasets for AI/ML training. Managed systematic checks to enhance accuracy and reduce rework in annotation workflows. • Acted as QA reviewer to verify annotation outputs against defined requirements • Achieved 95%+ accuracy in labeling through rigorous validation • Supported LLM projects by reviewing and correcting annotated samples • Provided feedback and corrections to maintain dataset integrity

2025 - 2026

BPC/BPR

Aws SagemakerTextBounding BoxSegmentation

Designed structured workflows and annotation standards to streamline processes - Built and validated blueprint responses ensuring accuracy, quality, and compliance - Collaborated with teams to implement scalable, repeatable ML workflows

Designed structured workflows and annotation standards to streamline processes - Built and validated blueprint responses ensuring accuracy, quality, and compliance - Collaborated with teams to implement scalable, repeatable ML workflows

2025 - 2025

Face Annotation

Aws SagemakerImageBounding BoxObject Detection

- Labeled facial datasets using CVAT (bounding boxes, segmentation) for recognition models - Performed QA reviews ensuring annotation accuracy

- Labeled facial datasets using CVAT (bounding boxes, segmentation) for recognition models - Performed QA reviews ensuring annotation accuracy

2024 - 2025

COCO

Aws SagemakerImageBounding BoxText Generation

- Labeled facial datasets using CVAT (bounding boxes, segmentation) for recognition models - Performed QA reviews ensuring annotation accuracy

- Labeled facial datasets using CVAT (bounding boxes, segmentation) for recognition models - Performed QA reviews ensuring annotation accuracy

2024 - 2024

Education

Work History