Gurpinder Kaur
Hi, I'm Gurpinder Kaur, a motivated and adaptable Software Engineer with hands-on experience in full-stack, Android, and cloud-native development.
About
Hi, I’m Gurpinder Kaur, a motivated and adaptable Software Engineer with hands-on experience in full-stack, Android, and cloud-native development. I enjoy building secure and scalable applications while focusing on user experience and continuous improvement. I’m proficient in JavaScript, Python, SQL, and cloud platforms like AWS, and have a solid understanding of Linux/Unix environments and cloud operations.
I thrive in Agile teams and love collaborating, innovating, and presenting technical concepts clearly. My strong communication and problem-solving skills help me deliver high-quality, user-centric solutions that make a difference.
- 2 years' experience
- Joined April 2025
Industry experience
- Software & Internet
- Healthcare
- Media & Entertainment
- Education
- Professional Services
Work experience· 7 roles
Led front end development of a neighbourhood engagement platform using React, Python, JavaScript, and CSS, helping newcomers find housing in Canada. Troubleshot critical scraping issues and deployed fixes on the GCP cloud platform with minimal downtime, showing strong problem-solving skills. Enhanced matching algorithm performance through data analysis and debugging, increasing match accuracy and user satisfaction.
Created a dynamic, AI-powered health advice platform creatively leveraging AI machine learning models via a Flask API and documenting endpoints with Swagger. Implemented secure input handling and encryption techniques to protect user data, ensuring a seamless user experience. Deployed to AWS cloud using Docker and Kubernetes, applying cloud computing and DevOps best practices.
Designed a serverless scheduling tool using AWS Lambda, RDS, and API Gateway, improving the efficiency of student/teacher scheduling. Built scalable REST APIs using AWS microservices to enhance system reliability in a Unix/Linux environment. Automated CI/CD pipelines using AWS CodePipeline and CodeDeploy, contributing to smoother end-to-end testing and deployment with a focus on continuous improvement. Integrated CloudWatch for debugging and detailed log writing, ensuring traceability and fast issue resolution.
Education
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