With over 6 years of expertise in backend and full-stack development, I specialize in building scalable, robust solutions across diverse industries. My tech stack includes ES5/ES6, TypeScript, Angular, Node.js, Ruby on Rails, Python, databases, AWS, and Cypress. My passion for innovation drives me to create intuitive applications and implement cutting-edge technologies to solve real-world challenges.
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House Prices Prediction Pipeline
A fully automated machine learning pipeline designed for house price prediction. Features include data preprocessing, feature engineering, and model evaluation. It supports multiple algorithms like Linear Regression and Random Forest. -
Air Quality EDA
A comprehensive exploratory data analysis of air quality data. Highlights include visualizing AQI trends, comparing water pollution levels, and correlating regional environmental factors. -
AutoEurope Platform
Migrated end-to-end tests from Protractor to Cypress, enhancing test performance and reliability. Contributed to feature development and reduced transaction times. -
Heart Disease Prediction Application
Developed a real-time data validation and prediction system integrating advanced monitoring dashboards and ML models for heart disease detection.
- Backend development with Node.js, Ruby on Rails, and Python
- Frontend frameworks including Angular and React
- Data analysis, visualization, and machine learning with Pandas, Scikit-learn, and TensorFlow
- CI/CD, containerization, and infrastructure using Docker, Kubernetes, and AWS
- Test automation with Cypress, RSpec, and Selenium
- Email: [email protected]
- LinkedIn: Saad Khalid
