Kashiff Kashif Hussain

Key Skills

Software

CVAT

Data Annotation Tech

OpenCV AI Kit (OAK)

Remotasks

Roboflow

Toloka

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Medical Dicom

Text

Top Label Types

Bounding Box

Classification

Computer Programming Coding

Data Collection

Emotion Recognition

Evaluation Rating

Fine Tuning

Object Detection

Prompt Response Writing SFT

Segmentation

Text Generation

Text Summarization

Freelancer Overview

I am a computer science graduate with hands-on experience in AI, machine learning, and data-driven projects, particularly in healthcare and computer vision domains. My background includes developing a real-time chatbot using Dialogflow and building a KNN-based ECG interpretation system with 93% accuracy, which required meticulous data preparation, annotation, and validation. I am skilled in Python, TensorFlow, and SQL, and have worked on projects involving digital image processing techniques such as gamma correction, filters, and facial emotion recognition. I am passionate about ensuring high-quality training data and leveraging my technical skills to contribute to robust AI solutions.

Labeling Experience

ECg image annotation and classification dataset preparation

CVATImageBounding Box

Annotated 1,000+ ECG report images for a healthcare AI project, performing image classification and bounding box labeling using CVAT and Python. Prepared and structured the dataset (train/validation/test split) for ML training, ensuring class balance and data consistency. Applied strict quality checks and validation methods, contributing to a model achieving approximately 93% accuracy.

Annotated 1,000+ ECG report images for a healthcare AI project, performing image classification and bounding box labeling using CVAT and Python. Prepared and structured the dataset (train/validation/test split) for ML training, ensuring class balance and data consistency. Applied strict quality checks and validation methods, contributing to a model achieving approximately 93% accuracy.

2024 - 2025

Education

Work History