Brian Kipngetich

Key Skills

Software

CVAT

Datasaur

Doccano

LightTag

OpenCV AI Kit (OAK)

Prodigy

Scale AI

SuperAnnotate

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Geospatial Tiled Imagery

Image

Text

Video

Top Label Types

Audio Recording

Computer Programming Coding

Emotion Recognition

Prompt Response Writing SFT

Text Generation

Transcription

Freelancer Overview

I am an Information Technology graduate with a strong analytical background in Information Security, Python programming, and structured data analysis. My experience includes analyzing system and network logs, identifying anomalies, and producing detailed, structured reports to support decision-making and system improvements. Through academic projects and hands-on technical work, I have developed strong attention to detail, logical reasoning, and the ability to follow strict technical guidelines — skills that are essential in AI training and data labeling environments. I have worked on data analysis and evaluation tasks using Python and SQL, including parsing structured and unstructured datasets, validating outputs, and assessing accuracy. Additionally, I have practiced evaluating AI-generated responses for correctness, clarity, and safety, providing structured feedback to improve output quality. My combination of technical expertise, analytical thinking, and clear written communication enables me to deliver high-quality, consistent labeling and model evaluation work in AI training projects.

Labeling Experience

LLM & Healthcare Image Annotation Specialist

DatasaurImageBounding BoxPolyline

Led large-scale image and text annotation projects in the Healthcare and LLM domains from January 2022 to December 2025. Scope of Work: Annotated medical images using Bounding Box and Polyline techniques for object detection and structural segmentation. Performed Named Entity Recognition (NER) and classification for healthcare-related textual datasets to support Large Language Model (LLM) training. Labeled complex healthcare entities including medical instruments, anatomical structures, pathology indicators, prescriptions, diagnoses, and clinical terminology. Worked with multimodal datasets combining image and text annotations.

Led large-scale image and text annotation projects in the Healthcare and LLM domains from January 2022 to December 2025. Scope of Work: Annotated medical images using Bounding Box and Polyline techniques for object detection and structural segmentation. Performed Named Entity Recognition (NER) and classification for healthcare-related textual datasets to support Large Language Model (LLM) training. Labeled complex healthcare entities including medical instruments, anatomical structures, pathology indicators, prescriptions, diagnoses, and clinical terminology. Worked with multimodal datasets combining image and text annotations.

2022 - 2025

Education

Work History