Divyansh Patel — QA Engineer

About

PROFILE

I'm a detail-oriented QA Engineer with 3.3 years of experience in manual, automation, and API testing for AI-powered, product-based platforms. I've worked across the full SDLC and STLC — from requirement analysis and sprint planning through execution, defect triage, and release sign-off.

My background is built around validating complex AI-generated outputs — emotion detection, behavioral analytics, eye-tracking heatmaps, and Copilot AI responses — in close collaboration with Frontend, Backend, Data Science, and Product teams. I don't just find bugs; I understand the product well enough to prevent them from reaching users.

🔍AI Output Validation
Specialist in testing AI-generated insights — emotion detection, behavioral analytics, heatmaps, and NLP-based copilot responses.
🔗API & Cloud Testing
REST/SOAP API testing via Postman and data validation across AWS services including S3, DynamoDB, and CloudWatch.
⚙️CI/CD Integration
Automated test reporting integrated into Jenkins pipelines, giving the team continuous visibility into build health.
📱Cross-Platform QA
Extensive experience testing iOS/Android mobile apps and cross-browser environments for consistent UX across devices.

Skills

VERIFIED ✓

Testing & QA PASSING

Manual Testing Functional Testing Regression Testing API Testing Exploratory Testing Mobile (iOS/Android) UI Testing Test Planning Root Cause Analysis

Automation PASSING

Selenium WebDriver Java (Basic) Automated Test Reporting Test Suite Maintenance Script Development

Cloud & DevOps PASSING

AWS DynamoDB AWS S3 AWS CloudWatch AWS SES Jenkins CI/CD GitHub Azure DataDog

Tools & Process PASSING

Postman REST APIs SOAP APIs JSON / XML Azure Boards SDLC / STLC Sprint Planning Documentation

Experience

WORK LOG

Entropik

Associate QA Engineer — AI-Driven Research Products

May 2022 — August 2025

3 years 3 months

Test Planning & Execution

Designed and executed detailed manual and API test plans derived directly from user stories, covering functional, regression, and exploratory scenarios.
Verified data integrity across system workflows through rigorous Postman-based API testing, validating REST and SOAP endpoints handling XML and JSON payloads.

AI Product & Cross-Team Debugging

Collaborated with Frontend, Backend, and Data Science teams to debug complex Copilot AI issues within DeCode and Qatalyst, accelerating root-cause analysis and reducing turnaround on critical defects.
Validated AI-generated outputs against expected behavior and real user scenarios to confirm model reliability ahead of each release.

Automation & CI/CD

Built and maintained Selenium/Java automation test scripts aligned with ongoing product updates, keeping coverage current as features evolved.
Integrated automated test reporting into Jenkins CI/CD pipelines, giving the team faster visibility into build health and cutting manual reporting effort.

Process, Documentation & Mentorship

Participated across full SDLC/STLC — from requirement analysis and sprint planning through execution, defect triage, and release sign-off — flagging testing risks early.
Authored clear test case documentation and bug reports, improving traceability and knowledge-sharing across teams.
Mentored and onboarded interns on QA practices and tooling (Postman, Selenium, Jenkins), helping them ramp up quickly on team workflows.

Key Projects

VALIDATED

DeCode

AI-Powered Consumer Insights Platform

ENTROPIK

Validated end-to-end research workflows — study creation, participant onboarding, and results generation — through functional and regression testing.
Tested AI-generated outputs (emotion detection, behavioral insights) against expected scenarios to confirm model accuracy before release.
Conducted API testing for data ingestion and retrieval; performed AWS-based validation to ensure consistency between raw input and processed insights.
Tested eye-tracking heatmaps for accurate gaze-to-UI mapping across cross-browser and mobile (iOS/Android) environments.

Postman AWS S3 DynamoDB iOS/Android Cross-Browser

Qatalyst

AI-Driven Research & Experimentation Platform

ENTROPIK

Built and executed Selenium/Java functional and regression test suites across web and mobile (iOS/Android) platforms.
Tested Figma/InVision interactive prototypes for UI rendering accuracy, navigation correctness, and user flow integrity.
Performed AI Copilot testing, validating automated insights and prompt-based responses against expected behavior at each release.
Verified user interaction tracking (clicks, scrolls, journeys) and its accurate mapping to analytics dashboards; triaged defects in Azure Boards.

Selenium/Java Postman AWS S3 DynamoDB Azure Boards

Education

BACKGROUND

B.Tech in Computer Science & Engineering

Rayat Bahra Institute of Engineering and Nano Technology, Punjab

2018 — 2022

7.13

CGPA / 10

DIVYANSH
PATEL

About

Skills

Experience

Key Projects

Education

Let's Work Together