Available for Opportunities

Building
Computer Vision
Solutions with Amir Aziz

I am Amir Aziz, a Data Science graduate from UET Peshawar and Computer Vision Engineer Intern at NCAI. I develop AI-powered solutions for object detection, segmentation, classification, pose estimation, tracking, and real-world visual intelligence systems.

Object Detection
Segmentation
Tracking
Deep Learning
YOLO
Generative AI
Amir Aziz
🎓
BS Data Science
UET Peshawar · 2026
🤖
CV Engineer Intern
NCAI · UET Peshawar
🧠
AI & Deep Learning
Enthusiast
💼
Freelance AI Dev
Available for projects

Passionate About Computer Vision & AI

I am Amir Aziz, a passionate Data Science graduate from the University of Engineering and Technology, Peshawar. My main focus is Computer Vision and Artificial Intelligence. I work on real-world AI systems including object detection, image segmentation, image classification, pose estimation, object tracking, oriented bounding box detection, and AI-based report generation.

I am also working as a Computer Vision Engineer Intern at the National Center of Artificial Intelligence — NCAI, UET Peshawar, where I apply deep learning and computer vision techniques to solve practical problems.

My Technical Skills

Services I Offer

Service 01
Computer Vision Development
I build AI-powered vision systems for detecting, tracking, classifying, and analyzing objects in images and videos using state-of-the-art deep learning architectures.
Service 02
Object Detection & Tracking
Real-time detection and tracking systems using YOLO and other modern architectures for surveillance, traffic monitoring, and intelligent transportation applications.
Service 03
Image Segmentation
Segmentation models for flood area detection, infrastructure damage analysis, medical-style image analysis, and precise object boundary detection tasks.
Service 04
Pose Estimation
Pose estimation systems for sports analytics, human activity recognition, fitness tracking, and biomechanical movement analysis in real-time applications.
Service 05
Data Science Projects
Data analysis, dashboard creation, predictive modeling, and meaningful insight extraction from real-world datasets for business and research use cases.
Service 06
AI Report Generation
Combining computer vision with Generative AI to automatically generate detailed inspection and analysis reports from detected objects, defects, or visual patterns.

Featured Projects

Real-world AI and computer vision systems built with modern deep learning frameworks.

Flood Segmentation & Detection
AI-based system for detecting and segmenting flood-affected areas from images or satellite-style data, aiding disaster monitoring and emergency response.
PythonOpenCVSegmentationYOLO
Vehicle Detection & Tracking
Real-time vehicle detection and tracking system for traffic monitoring, road surveillance, and intelligent transportation applications.
YOLOOpenCVTrackingPython
Football Player Tracking & Mini Map
Sports analytics project detecting football players, tracking movement, and generating a mini-map visualization for match analysis and coaching insights.
TrackingPose Est.PythonOpenCV
Infrastructure Defect Detection & AI Reports
Computer vision + Generative AI system that detects infrastructure defects such as cracks and structural damage, then auto-generates detailed inspection reports.
YOLOGenerative AIPythonReports
Play Store Analysis
Play Store App Analysis
Data science project analyzing Play Store data to understand ratings, reviews, categories, installs, and app performance trends with rich visualizations.
PandasMatplotlibSeabornEDA
Object Classification
Object Classification System
Deep learning-based image classification system using trained CNN neural network models to categorize images into multiple classes with high accuracy.
CNNPyTorchPythonClassification
Detection Dashboard
Real-Time Object Detection Dashboard
Web-based dashboard where users upload images or videos and receive real-time AI-based object detection results through an interactive interface.
YOLOStreamlitFlaskOpenCV
Pose Estimation
Human Pose Estimation System
Computer vision system detecting human body keypoints for sports performance analysis, fitness tracking, and human activity recognition applications.
Pose Est.OpenCVDeep LearningPython

My Documents

Download my resume, academic transcripts, and certifications.

My Work Process

01
Research & Understanding
I understand the problem, dataset, business goal, and technical requirements before starting development to ensure the right solution is built.
02
Data Preparation
I clean, label, preprocess, and organize data to make it suitable for model training and evaluation with the highest quality standards.
03
Model Development
I train and optimize computer vision or machine learning models using modern AI frameworks to achieve state-of-the-art performance.
04
Testing & Deployment
I test model performance rigorously, improve accuracy, and prepare the solution for real-world use or production deployment.

Experience & Education

Internship · Current
Computer Vision Engineer Intern
National Center of Artificial Intelligence — NCAI, UET Peshawar
Working on AI-based visual intelligence systems involving object detection, segmentation, classification, pose estimation, tracking, and automated analysis of image and video data. Applying deep learning techniques to solve real-world computer vision problems.
Education · Completed July 2026
BS Data Science
University of Engineering and Technology, Peshawar
Completed BS Data Science in July 2026 with a strong focus on artificial intelligence, machine learning, computer vision, and data analytics. Developed practical skills through multiple real-world AI projects spanning detection, segmentation, pose estimation, and data analysis systems.

Let's Build Intelligent AI
Solutions Together

Available for computer vision projects, AI development, data science tasks, research collaboration, freelance projects, and full-time opportunities.

Contact Me