Shaarif Zaid

Key Skills

Software

OpenCV AI Kit (OAK)

Roboflow

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Video

Top Task Types

Classification

Computer Programming Coding

Data Collection

Diagnosis

Emotion Recognition

Freelancer Overview

As a recent B.Tech graduate, my hands-on AI/ML project experience is built on a strong foundation of working with and understanding labeled datasets. I have a practical understanding of how data quality and precise annotation directly impact model performance. My core project involved an AI-Powered Diagnostic Platform , where I worked extensively with labeled medical image datasets (for cataract and brain tumor diagnosis) and classified labeled tabular data (for heart disease and diabetes). This gave me direct experience with image and data classification tasks. Additionally, I trained an AI chatbot using IBM Watson, which required working with query-response text data. My data analysis internship at CSIR-NPL focused on data processing, analysis, and visualization using Python, Pandas, and Matplotlib , demonstrating my ability to handle, clean, and prepare complex datasets for analysis.

Labeling Experience

Train Object Detection with Bounding Boxes

RoboflowVideoBounding BoxSegmentation

used the Roboflow platform to perform object detection on transportation imagery. This project involved creating, managing, and refining bounding box annotations to accurately identify and label objects such as trains, engines, coaches, and wagons.

used the Roboflow platform to perform object detection on transportation imagery. This project involved creating, managing, and refining bounding box annotations to accurately identify and label objects such as trains, engines, coaches, and wagons.

2025 - 2025

AI-Powered Multi-Disease Diagnostic Platform

Opencv AI Kit OakImageClassification

Worked with pre-labeled medical image datasets to train and validate classification models for diagnosing cataracts and brain tumors. Also worked with labeled tabular datasets to classify predictions for heart disease and diabetes. This project required a deep understanding of the labeled data to ensure model accuracy.

Worked with pre-labeled medical image datasets to train and validate classification models for diagnosing cataracts and brain tumors. Also worked with labeled tabular datasets to classify predictions for heart disease and diabetes. This project required a deep understanding of the labeled data to ensure model accuracy.

2024 - 2025

Education

Work History