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QA Engineer with 1+ years in manual testing & healthcare IT.
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Software Test Engineer with 1.5 years of experience in manual testing of healthcare applications at Capgemini. Hands-on experience in test case design, test execution, defect tracking, and regression testing within Agile-Scrum environments. Good understanding of healthcare IT workflows including patient registration, clinical data management, billing, and medical device software. Familiar with the complete STLC and SDLC process. Holds Agile Testing Certification (ICAgile) and has completed training in Selenium automation and software testing. Looking for QA Analyst or Software Test Engineer roles to further grow in the testing domain.
Sri Ramakrishna Engineering College, Coimbatore
Bachelor of Engineering · Biomedical Engineering
August 1, 2019 – June 30, 2023
Saraswathi Matriculation Higher Secondary School, Valappady
HSC · BioMaths
June 1, 2019 – May 31, 2019
Saraswathi Matriculation Higher Secondary School, Valappady
SSLC
June 1, 2017 – May 31, 2017
Capgemini
Software Analyst — QA & Testing
January 1, 2025 – Present
Pune, Maharashtra, India
Medical Device Software — Functional & Workflow Testing
January 1, 2025 – June 30, 2026
Validated user workflows for a medical device software application against the provided functional specifications, identifying defects and documenting them with clear reproduction steps. Gained exposure to compliance-related testing requirements for healthcare software and understood how workflow validation supports regulatory expectations.
Healthcare Application — End-to-End Manual Testing
January 1, 2025 – June 30, 2026
Executed test cases across patient registration, billing, clinical reporting, and appointment modules, verifying that each feature worked as per the defined requirements. Performed regression and sanity testing after every sprint release to check for any functional breakage in previously working modules. Logged and tracked all defects in Jira, following up with the development team until issues were resolved and retested successfully.
Gestational Diabetes Prediction using Machine Learning
January 1, 2019 – January 1, 2023
Developed an ML model in Python to predict gestational diabetes onset using patient health data, applying basic data preprocessing and evaluation methods.
Brain Tumour Detection using SVM & Image Segmentation
January 1, 2019 – January 1, 2023
Implemented image segmentation and SVM-based classification for MRI-based brain tumour detection, gaining experience in applying analytical and testing thinking to healthcare data.
Diabetic Retinopathy Detection using Deep Learning
January 1, 2019 – January 1, 2023
Built a Deep Learning model to detect and classify diabetic retinopathy from retinal image datasets, combining healthcare domain knowledge with data analysis techniques.
Learn Manual Software Testing + Agile with Jira
Coursera
June 1, 2026 – Present
Python Data Structures
Coursera / Univ. of Michigan
June 1, 2026 – Present
ISO Standards Certification
Coursera
June 1, 2026 – Present
Selenium Automation Testing (Python)
Coursera
June 1, 2026 – Present
Selenium Python with Behave BDD (Basic + Advanced)
Udemy
June 1, 2026 – Present
Python for Data Science, AI & Development
Coursera
June 1, 2026 – Present
Agile Testing Certification
ICAgile
June 1, 2026 – Present
L1 & L2 Internal Certification
Capgemini
June 1, 2026 – Present
Complete Software Testing Bootcamp 2025
Udemy
June 1, 2026 – Present
Introduction to Artificial Intelligence (AI)
Coursera
June 1, 2026 – Present
Introduction to Data Analytics
Coursera
June 1, 2026 – Present
Programming for Everybody (Python)
Univ. of Michigan
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background in Biomedical Engineering combined with professional experience in healthcare IT QA shows a strong domain alignment. The academic projects, while not directly QA-related, demonstrate analytical thinking and problem-solving skills, particularly in data analysis and machine learning within the healthcare context. The breadth of certifications, including Agile and basic automation, indicates a willingness to grow and adapt, which aligns well with a dynamic QA role. The candidate's stated openness to relocation and hybrid/remote work also suggests flexibility.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in communication and team collaboration through their experience descriptions, particularly in defect reporting and Agile ceremonies. Their proactive approach to certifications and stated interest in learning new concepts, tools, and technologies indicates a positive work attitude and adaptability. The experience in Agile environments suggests a good operational fit for teams practicing iterative development.