Danish Chaudhary

QA Engineer

Key Strengths

Extensive experience in designing and implementing scalable automation frameworks (Selenium, POM, data-driven) across web, API, and mobile platforms.
Strong proficiency in CI/CD integration with quality gates (Jenkins, GitHub Actions), ensuring build stability and release governance.
Demonstrated expertise in performance testing (JMeter) and identifying system bottlenecks, with quantifiable improvements in response time.
Proven ability in API automation, including schema validation and contract testing, significantly reducing API defect leakage.
Experience with microservices architecture, end-to-end validation, and cross-database validation across multiple storage systems.
Specialized experience in AI/chatbot platform testing, including NLP validation, intent accuracy, and fallback flows.
Recent involvement in an 'AI Test Case Generation Agent' project utilizing multi-LLM orchestration and prompt engineering for advanced test scenario generation.
Quantifiable achievements in reducing automation maintenance overhead, improving mobile automation stability, and accelerating defect triage.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data: The psychometric test score is 0, providing no basis for a cultural fit assessment.

Soft Skills & Operational Fit

The candidate demonstrates strong operational fit with experience in Agile Scrum methodologies, CI/CD integration, and fast-paced environments. Soft skills include cross-functional collaboration, problem-solving, test strategy development, technical documentation, and knowledge transfer, which are crucial for a senior role.

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Assessing your cultural and operational fit

About

QA Engineer with 3.3+ years of experience in manual and automation testing across web, API, mobile, and AI-driven SaaS platforms. Currently working at WotNot Solutions, handling end-to-end testing including requirement analysis, test design, functional, regression, and exploratory testing. Skilled in building and maintaining automation frameworks using Selenium (Python-Pytest, Java-TestNG) and API automation with Postman/Newman. Experienced in microservices architecture, validating 500+ REST APIs across 20+ services, and performing end-to-end testing for UI, API, and chatbot workflows. Hands-on with performance testing using JMeter (10k+ concurrent users) and backend validation using MySQL, Redis, and Elasticsearch. Also developed an AI-powered test case generator integrated with Google Sheets to reduce manual effort and accelerate sprint execution. Focused on delivering high-quality, scalable, and reliable systems through a combination of strong testing practices and efficient automation.

Education

Gujarat Technological University

B.E · Computer Engineering

September 9, 2020 – December 31, 2022

Gujarat Technological University

Diploma · Computer Engineering

June 4, 2017 – July 31, 2020

Experience

WotNot Solutions Pvt. Ltd

QA Automation Engineer

March 31, 2024 – Present

Ahmedabad, Gujarat, India

WotNot Solutions Pvt. Ltd

Associate QA Engineer (With DevOps Exposure)

December 31, 2022 – March 31, 2024

India

Key Strengths

Extensive experience in designing and implementing scalable automation frameworks (Selenium, POM, data-driven) across web, API, and mobile platforms.
Strong proficiency in CI/CD integration with quality gates (Jenkins, GitHub Actions), ensuring build stability and release governance.
Demonstrated expertise in performance testing (JMeter) and identifying system bottlenecks, with quantifiable improvements in response time.
Proven ability in API automation, including schema validation and contract testing, significantly reducing API defect leakage.
Experience with microservices architecture, end-to-end validation, and cross-database validation across multiple storage systems.
Specialized experience in AI/chatbot platform testing, including NLP validation, intent accuracy, and fallback flows.
Recent involvement in an 'AI Test Case Generation Agent' project utilizing multi-LLM orchestration and prompt engineering for advanced test scenario generation.
Quantifiable achievements in reducing automation maintenance overhead, improving mobile automation stability, and accelerating defect triage.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data: The psychometric test score is 0, providing no basis for a cultural fit assessment.

Soft Skills & Operational Fit