m
mashalux

Mashal Zahra

@mashalux

AI and Computer Vision Engineer

Pakistán
Inglés, Urdu, Pashto
Parte de la información aparece en idioma inglés.
Sobre mí
Hi, I'm Mashal Zahra, an AI & Computer Vision Engineer specializing in Python, OpenCV, YOLO, PyTorch, TensorFlow, and Roboflow. I build end-to-end AI solutions, from dataset collection, annotation, cleaning, and preprocessing to training models for image classification, object detection, and segmentation. I also develop image processing and AI-powered web apps by integrating trained models into user-friendly interfaces. I deliver accurate, scalable, and high-quality solutions with clear communication and on-time delivery. Here is the link of my portfolio! https://emerald-ami-20.tiiny.site/ ... Lee más

Habilidades

m
mashalux
Mashal Zahra
desconectado • 

Revisa mis servicios

Banners y publicaciones para redes sociales
I will design stunning social media posts and graphics using canva
DeUSD 5 / proyectoMás información
Integraciones de IA
I will do professional roboflow image annotation for computer vision ai models
DeUSD 90 / proyectoMás información

Experiencia laboral

Technologies

AI Developer

Technologies • Tiempo parcial

Nov 2025 - Present • 8 mos

## Job History ### AI & Computer Vision Intern **Duration:** Internship Worked on real-world Computer Vision and Deep Learning projects involving the complete AI development pipeline. Responsibilities included: * Collected and organized image datasets from multiple sources. * Cleaned, filtered, and preprocessed datasets to improve data quality. * Performed image annotation using Roboflow for object detection and segmentation tasks. * Prepared datasets in YOLO and COCO formats. * Developed image processing solutions using Python and OpenCV. * Implemented background removal, foreground extraction, document deskewing, image enhancement, denoising, thresholding, and morphological operations. * Built an image stitching pipeline using feature detection, feature matching, homography estimation, image warping, and blending techniques. * Trained and evaluated deep learning models for image classification using EfficientNetV2. * Developed and evaluated object detection models using YOLO. * Worked on semantic image segmentation models. * Evaluated model performance using appropriate metrics and visualizations. * Integrated trained AI models into AI-powered web applications for real-time image inference. * Collaborated with mentors on improving model accuracy, dataset quality, and deployment workflows. ## Additional Skills * Problem Solving * Research & Development * Computer Vision Pipeline Development * Deep Learning Model Development * Data Preprocessing & Augmentation * Model Optimization * AI Model Deployment * API Integration * Web Application Integration * Version Control (Git/GitHub) * Technical Documentation * Debugging & Testing * Agile Collaboration * Communication & Client-Focused Development