Sundus Aijaz
Machine Learning Engineer

Building practical AI solutions with machine learning, deep learning, computer vision, and Python automation.

About Me

Why work with me?

I am a Machine Learning Engineer with experience in Python development, machine learning, deep learning, and automation. I build practical solutions across predictive modeling, computer vision, data pipelines, and backend integrations for AI-driven applications.

I enjoy solving real-world problems with scalable systems, whether that means training models, preparing data, creating automation workflows, or building APIs that bring AI solutions into production.

Services

What I Do

Here are the core services I offer across machine learning, AI development, and automation.

Machine Learning

I build machine learning solutions for forecasting, classification, clustering, and predictive analytics using clean pipelines and practical evaluation methods.

Deep Learning

I develop deep learning solutions including CNNs, language models, detection systems, and segmentation models for real-world AI applications.

Web Scraping & Automation

I build custom scrapers, crawlers, and automation tools to collect and process real-time data for analytics, model development, and business workflows.

Data Labeling & Preparation

High-quality data is essential for strong AI systems. I support data gathering, cleaning, structuring, and labeling based on project-specific requirements.

Data Science & Analysis

I deliver analysis, insights, and reporting through presentations, dashboards, and reports tailored to business and project requirements.

Backend Development

I develop APIs and backend systems that help machine learning models function reliably in real-world applications and production environments.

Featured Projects

A selection of machine learning, deep learning, computer vision, and automation projects.

Cow Emotions and Posture Analysis
Developed a deep learning solution to analyze dairy animal posture and support emotion-related classification from image-based inputs.

Traffic Engineering: Real-Time Road Analysis
Built a real-time traffic analysis system using vehicle detection, lane segmentation, speed estimation, and a Flask backend.

Osteoporosis Detection
Developed a deep learning model to classify disease from knee X-ray images for medical image analysis.

Shipments Automation - Desktop App
Developed a Python-based automation system to streamline shipment booking workflows and reduce manual processing.