Vaishnavi Dilip

QA Engineer

Bangalore, India 2+ yrs exp 85 · Excellent

About

Multi-skilled QA Engineer with 2+ years of experience spanning Manual Testing, Web & Mobile Automation, API Testing, and Load/Performance Testing. Strong grounding in STLC, SDLC, and Defect Life Cycle, with hands-on exposure to Selenium, Appium, Postman, and JMeter alongside core programming knowledge in Python and JavaScript. Experienced in AI-assisted test case preparation and test data creation to improve test coverage. Proven track record maintaining quality across enterprise production systems used by 500+ clients, with strong analytical, defect-tracking, and cross-team communication skills. Immediate joiner.

Skills & Expertise (35)

Functional Testing Advanced

7.5/10

Years Exp

Manual Testing Advanced

7.5/10

Years Exp

Jira Advanced

7.5/10

Years Exp

ServiceNow Advanced

7.5/10

Years Exp

Agile Advanced

7.5/10

Years Exp

Scrum Advanced

7.5/10

Years Exp

Defect Life Cycle Advanced

7.5/10

Years Exp

SDLC Advanced

7.5/10

Years Exp

STLC Advanced

7.5/10

Years Exp

Defect Management Advanced

7.5/10

Years Exp

Test Case Design Advanced

7.5/10

Years Exp

UAT Advanced

7.5/10

Years Exp

Integration Testing Advanced

7.5/10

Years Exp

sanity testing Advanced

7.5/10

Years Exp

smoke testing Advanced

7.5/10

Years Exp

Regression Testing Advanced

7.5/10

Years Exp

Splunk Intermediate

6.5/10

Years Exp

Postman Intermediate

6.5/10

Years Exp

DataBase Testing Intermediate

6.5/10

Years Exp

SQL Intermediate

6.5/10

Years Exp

JMeter Intermediate

6.5/10

Years Exp

REST API Testing Intermediate

6.5/10

Years Exp

Python Intermediate

6.5/10

Years Exp

Selenium Intermediate

6.5/10

Years Exp

AI-Assisted Test Case Generation Intermediate

5.5/10

Years Exp

Test data Creation Intermediate

5.5/10

Years Exp

Machine Learning Intermediate

5.5/10

Years Exp

Deep Learning Intermediate

5.5/10

Years Exp

Java Intermediate

5.5/10

Years Exp

JavaScript Intermediate

5.5/10

Years Exp

Appium Intermediate

5.5/10

Years Exp

CNN Intermediate

5.5/10

Years Exp

LSTM Intermediate

5.5/10

Years Exp

NumPy Intermediate

5.5/10

Years Exp

Pandas Intermediate

5.5/10

Years Exp

Work Experience

Technical Support Engineer

Source One Management Services (Client: IBM)

Sep 2025 - Apr 2026

Designed and executed manual, functional, regression, smoke, and sanity test cases to verify bug fixes and enhancements prior to release across reservation, billing, and housekeeping workflows. Executed test cases in the UAT environment ahead of enhancement releases, logging and tracking defects through resolution in JIRA before promoting changes to production. Tracked, prioritized, and resolved bug-fixing and enhancement tickets using JIRA and ServiceNow, consistently meeting turnaround targets for production issues. Collaborated with developers to reproduce, troubleshoot, and verify defect fixes across a platform serving 500+ hotel properties. Used JMeter to test response times for reservation and booking transactions, helping identify slow transaction flows before they impacted guests during high-volume periods.

Technical Support Engineer

Source One Management Services (Client: IBM)

Oct 2024 - Sep 2025

Performed functional and integration testing on TIBCO BW5 workflows before deployment, verifying data accuracy and message integrity across system-to-system connections - conceptually similar to API request/response validation. Validated message flow through topics and queues in staging and UAT environments, confirming correct delivery before promoting changes to production. Monitored application logs in Splunk to proactively identify and resolve errors, and analyzed logs and configurations to isolate root cause across data, connectivity, and performance issues. Escalated unresolved defects to engineering teams with clear, well-documented context, contributing to permanent fixes and improved release quality.

Software Engineer, Data Science

Inode Technologies

Aug 2023 - Aug 2024

Performed QA and validation checks on machine learning model outputs and input datasets - testing for data drift, outliers, and inconsistent records - to ensure accuracy and reliability before deployment. Wrote Python and SQL scripts to validate, cross-check, and test large-scale datasets for accuracy prior to analysis and reporting. Applied AI and deep learning techniques (CNN, LSTM) to time-series prediction problems, evaluating model performance using accuracy, precision, and error-rate metrics. Collaborated with cross-functional teams to validate data quality and model accuracy, contributing to a 20% improvement in data-driven decision-making.