Hello!

I'm Daud Shah



Junior Computer Vision Engineer

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Name: Daud Shah

Job Role: Junior Computer Vision Engineer

Experience: 1 Years

Address: Peshawar, Pakistan

Skills

Python 80%
Object Detection & Segmentation 90%
Data Annotation & Labeling 90%
Deep Learning 70%
Machine Learning 80%

About

About Me

With over 1 years Computer Vision Engineer currently pursuing a Bachelor’s degree in Computer Science. I specialize in building intelligent systems using deep learning and computer vision technologies. With hands-on experience in object detection, image segmentation, OCR, video action recognition, and data annotation, I develop real-world AI solutions that address problems in traffic automation, public safety, medical imaging, and smart systems.

  • Profile: Junior Computer Vision Engineer;
  • Domain: Computer Vision,Deep Learning,Machine Learning
  • Education: Bachelor of Computer Science
  • Language: Urdu,Pastho,English
  • Tools: Kaggle,Roboflow,& Jupiter Notebook;
  • Other Skills: YOLO, ,Streamlit, TensorFlow, OpenCV , MMAction2, GitHub, CVAT, Google Analytics & SEO
  • Interest: Traveling, Travel Photography, Teaching

0 +   Projects completed

LinkedIn

Resume

Resume

Computer Vision Engineer with hands-on experience in object detection, image segmentation, OCR, and video analysis using YOLOv8/v11, MMAction2, and OpenCV. Currently pursuing a BS in Computer Science and building real-world AI solutions for smart systems and automation.

Experience


OCT 2024-Present

Computer Vision Intern

NCAI Lab UET Peshawar

NCAI(National Central of Artificial Intelligence) Lab at UET Peshawar is a premier research center focused on developing AI-driven solutions for real-world challenges in computer vision, automation, and intelligent systems.

  • Worked on real-world computer vision projects including ambulance, rickshaw, and license plate detection using YOLOv8 and YOLOv11.
  • Gained hands-on experience with image annotation, model training, testing, and deploying solutions for traffic, safety, and medical use cases..
  • Collaborated on advanced tasks like video action recognition with MMAction2 and OCR-based text extraction systems using PaddleOCR.



Education


2022-2026

Bachelor of Computer Science

University of Agriculture, Peshawar

CGPA: 3.57

2020-2022

Fsc: Pre Engineering

Quaid Azam Group of school and Colleges

Grade: B.

Download CV

Projects

Projects

Below are the sample real-world projects CV,DL,ML.

AI Traffic Control System

Real-time vehicle detection system with static traffic signal control based on lane density analysis using YOLOv11.

Pakistani License Plate Detection

YOLOv8 + PaddleOCR pipeline for automatic license plate recognition and text extraction with CSV output.

Brain Tumor Segmentation

YOLOv11 model for detecting tumors and dead cells in MRI scans with volumetric analysis capabilities.


Appliance Status Detection

Computer vision system to detect and classify the operational status of household appliances using YOLO models.

Ambulance & Rickshaw Detection

Multi-class detection system for identifying ambulances and rickshaws in traffic scenarios with YOLOv11.

0 Achievements
0 Projects
0 Mentored Students

More projects on Github

I love to solve AI problems


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Peshawar,Pakistan

Contact Number

03404534543

Email Address

sdaud4214@gmail.com

Download Resume

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