Malay Parikh

React Frontend Engineer

https://talent.gravityer.com/malay-parikh

A passionate software tester and below is my self-beliefs •Believe in Teamwork •No Assumption •Quality is always 1st Priority •Always Focus on the Solution

India

Key Strengths

Candidate has multiple personal projects demonstrating engagement with various technologies.
Experience with JavaScript, HTML, and CSS from projects like 'QA_TC_Geneator' and 'AI_Learning_2026' aligns with frontend development.
Exposure to testing frameworks (Selenium, RestAssured) and AI/LLM concepts indicates a broad technical interest.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration across different domains (QA automation, AI/LLM, general programming). This indicates a proactive and self-driven individual, which can be a positive cultural fit for teams valuing continuous learning and initiative. However, the projects are predominantly personal and lack details on collaborative efforts or team contributions, making it difficult to fully assess cultural fit in a team setting.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Assessing your cultural and operational fit

Projects

QA_TC_Geneator

April 28, 2026 – Present

This is a comprehensive QA Test Case Application designed to streamline the quality assurance process. The application integrates with Jira and various LLM providers (OpenAI, Gemini, Groq, and local Ollama) to automatically generate test cases from Jira stories and log defects back into Jira.

View Project

llm-prompt-testing-framework

April 26, 2026 – Present

llm-prompt-testing-framework — GitHub repository

View Project

genai-testing-llm-chatbot-validation

April 26, 2026 – Present

Sample repository demonstrating Generative AI testing approaches including LLM validation, prompt engineering testing, hallucination detection, and RAG-based chatbot testing.

View Project

AI_Learning_2026

March 29, 2026 – Present

AI_Learning_2026 — GitHub repository

View Project

SeleniumProject6Nov

November 6, 2024 – November 6, 2024

SeleniumProject6Nov — GitHub repository

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RestAssuredProject5Nov

November 5, 2024 – November 5, 2024

RestAssuredProject5Nov — GitHub repository

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RemoteRepo5Nov

November 5, 2024 – November 5, 2024

RemoteRepo5Nov — GitHub repository

View Project

RemoteRepo4Nov

November 4, 2024 – November 4, 2024

RemoteRepo4Nov — GitHub repository

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Remote_Repository29Oct

October 29, 2024 – October 29, 2024

Remote_Repository29Oct — GitHub repository

View Project

Qualitrix_Selenium_Materials

December 22, 2023 – December 22, 2023

Qualitrix_Selenium_Materials — GitHub repository

View Project

Key Strengths

Candidate has multiple personal projects demonstrating engagement with various technologies.
Experience with JavaScript, HTML, and CSS from projects like 'QA_TC_Geneator' and 'AI_Learning_2026' aligns with frontend development.
Exposure to testing frameworks (Selenium, RestAssured) and AI/LLM concepts indicates a broad technical interest.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Malay Parikh

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit