Built scalable Python-based backend automation framework using OOP and design patterns, reducing manual testing effort.

Designed GitLab CI/CD pipelines to automate builds, testing, and release gating for multiple hardware platforms.

Developed backend services for device interfaces, data workflows, and configuration management to improve system reliability.

Created a Django dashboard integrated with GitLab REST APIs to display pipeline status, issue metrics, and system health.

Developed Python automation scripts and test modules to replace manual validation workflows.

Improved system stability by strengthening backend communication layers and device-interaction logic.

Enhanced data-processing efficiency using optimized SQL queries and backend data-handling utilities.

Integrated automation into GitLab CI pipelines with trigger-on-merge test suites and structured reporting.

Developed 15+ scalable web applications using Django and Python ensuring high quality code and best-practices.

Designed and implemented REST APIs for seamless front-end and back-end communication, reducing data latency by 50ms.

Developed efficient shell scripts to automate complex tasks, streamline workflows, and enhance system reliability.

Optimized SQL queries using indexing, window functions, and set operations, reducing execution time by 67%.

Implemented singleton, Decorator, and Facade design patterns, resulted in increased modularity and low coupling.