Aman Deep Thakur

Chandigarh Engineering College-Cgc, Landran, Mohali

Kāngra, Himachal Pradesh, India

Since April 21, 2026

About

Senior QA Lead with 8+ years delivering quality across SaaS, US Government, Enterprise, and Voice Technology platforms. Expert in test automation (Selenium, MABL), REST API validation, VOIP protocol testing, and leading Agile QA teams through full release cycles with zero critical defect escapes. Early adopter of AI-augmented QA — using LLM-assisted test generation, anomaly detection, and intelligent regression triage to accelerate delivery and raise coverage. Known for owning end-to-end QA strategy, mentoring cross-functional teams, and turning messy requirements into airtight test scenarios.

Skills

Agile MethodologiesGitFunctional Consultant

Education

Chandigarh Engineering College-Cgc, Landran, Mohali

B.tech · Information and technology

March 31, 2013 – July 4, 2017

Key Strengths

Senior QA Lead with 8+ years of progressive experience across SaaS, Government, Enterprise, and Voice Technology domains.
Proven expertise in end-to-end test strategy, test automation frameworks (Selenium, MABL, Java) and REST API testing (Postman, Apache JMeter).
Strong experience in Voice over Internet Protocol (VOIP) validation using WireShark, Asterisk, and Twilio.
Pioneering integration of Artificial Intelligence (AI) tools, including Large Language Model (LLM) assisted test case generation, AI-driven anomaly detection, and intelligent regression triage into QA workflows.
Consistent record of zero critical defect escapes and on-time release sign-offs across multiple production releases.
Experience leading and mentoring cross-functional QA teams (4-6 engineers) in Agile and Scrum environments.
Proficiency in a wide range of testing types: Functional, Regression, UAT, Smoke, Sanity, Performance, Mobile, UI/UX, Black Box, Integration, System.
Strong technical skills in Programming and Scripting (Java, Python, SQL) and platforms like AWS CodeCommit, Git, Linux.

Cultural & Operational Fit

Cultural Fit Analysis

Based on the provided psychometric test score of 0 out of 500, the candidate's cultural fit cannot be positively assessed. This score indicates a significant concern regarding aspects such as logical reasoning, work attitude, stress handling, and team collaboration, as per the evaluation focus. Without further data or re-assessment, this score presents a substantial risk.

Soft Skills & Operational Fit

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Assessing your cultural and operational fit

Key Strengths

Senior QA Lead with 8+ years of progressive experience across SaaS, Government, Enterprise, and Voice Technology domains.
Proven expertise in end-to-end test strategy, test automation frameworks (Selenium, MABL, Java) and REST API testing (Postman, Apache JMeter).
Strong experience in Voice over Internet Protocol (VOIP) validation using WireShark, Asterisk, and Twilio.
Pioneering integration of Artificial Intelligence (AI) tools, including Large Language Model (LLM) assisted test case generation, AI-driven anomaly detection, and intelligent regression triage into QA workflows.
Consistent record of zero critical defect escapes and on-time release sign-offs across multiple production releases.
Experience leading and mentoring cross-functional QA teams (4-6 engineers) in Agile and Scrum environments.
Proficiency in a wide range of testing types: Functional, Regression, UAT, Smoke, Sanity, Performance, Mobile, UI/UX, Black Box, Integration, System.
Strong technical skills in Programming and Scripting (Java, Python, SQL) and platforms like AWS CodeCommit, Git, Linux.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit