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Basit A.

Basit A.

Data annotation pipeline (Cricpop | Cricket Reel Generator)

Pakistan flagN/A, Pakistan

Key Skills

Software

CVATCVAT

Top Subject Matter

Cricket scoreboard images / object detection
Medical Q&A over medical notes

Top Data Types

ImageImage

Top Task Types

Object DetectionObject Detection
Question AnsweringQuestion Answering

Freelancer Overview

Data annotation pipeline (Cricpop | Cricket Reel Generator). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT and FAISS. Education includes Bachelor of Science, FAST-NUCES (2026). AI-training focus includes data types such as Image, Medical, and DICOM and labeling workflows including Object Detection and Question Answering.

Labeling Experience

Clinical RAG — Medical Q&A System

Question AnsweringQuestion Answering

Built a Clinical RAG medical Q&A system by indexing medical notes into a vector database and performing semantic retrieval for question answering. Used embedding models with FAISS to enable similarity search over medical text, then integrated the retrieved context to answer user queries. The work focused on preparing and leveraging medical data for retrieval and QA performance. • Created semantic search over medical notes using vector embeddings • Used FAISS for similarity indexing and retrieval • Designed a medical Q&A flow grounded in retrieved content • Prepared medical text data for retrieval-based QA

2025 - 2025
CVAT

Data annotation pipeline (Cricpop | Cricket Reel Generator)

CVATCVATImageImageObject DetectionObject Detection

Created an image data annotation pipeline for a cricket scoreboard reel generator, using manual labeling followed by model-assisted auto-annotation. Annotated ~500 scoreboard images in CVAT, trained a YOLOv8n object detection model, and then used the model on Roboflow to auto-annotate an additional ~500 images with strict quality validation. Produced a final dataset of 1,000+ labeled images suitable for training and evaluation. • Manually annotated ~500 images in CVAT • Trained a YOLOv8n model on the annotated data • Auto-annotated ~500 more images in Roboflow • Enforced strict quality validation on the combined dataset

2025 - 2025

Education

F

FAST-NUCES

Bachelor of Science, Computer Science

Bachelor of Science
2022 - 2026

Work History

N

Nexium

Web Development Intern

N/A
2025 - 2025