Software Engineer with healthcare domain expertise, focused on enhancing software quality through automation testing, API validation, and CI/CD integration. Adept at leading teams and architecting scalable testing frameworks.
Automation tools
Selenium WebDriver, TestNG, Cucumber (BDD), Maven
Other tools
MSSQL, Postman (API testing), JIRA
Languages
Java
Bug tracking
JIRA, XRAY
Browsers
Chrome, Firefox, Edge
Database
Microsoft SQL Server
Testing methodologies
Smoke, regression, functional, API testing, automation testing, manual testing
MTech project 1
Design and development of a patient-specific surgical guide for free fibula flap surgery
We developed surgical guides and conducted virtual simulations of mandibular repair using fibular bone segments prior to surgery, achieving exceptional reconstructive accuracy.
MTech project 2
Bone fracture detection using image processing
Created an image processing solution that autonomously identifies bone fractures, enhancing diagnostic accuracy and accelerating clinical assessments.
B.E. Project
MI Tracker - A wearable tracking device
Successfully developed a wearable tracking device that delivers accurate, real-time monitoring of user movements and locations, enhancing personal safety and health management
Aishwarya Phulpagar, Rohini Mudhalwadkar, Priyank Yeolekar. Design and Development of a Patient-specific Surgical Guide for Free Fibula Flap Surgery. Published in 2022 International Conference on Signal and Information Processing (IConSIP), IEEE, 2022.