Ramneek Singh

Detail-oriented and results-driven QA Engineer with over 4 years of hands-on experience in manual and automated testing of web, mobile, chatbot, and voicebot applications. Proven expertise in SDLC/STLC processes, test planning, execution, and bug lifecycle management. Adept at API testing, performance testing, and database validations, aiming to leverage my technical and analytical skills in a challenging QA role to ensure software reliability and enhance product quality.

QA Lead - Rezo.ai

(2023-05)

Automobile and Insurance Domains – GenAI Chatbots, Voicebots, Web & Mobile Platforms

• Led a QA team of 4+ engineers, overseeing manual and API testing efforts across chatbot, voicebot, web, and mobile platforms, ensuring on-time delivery of high-quality releases.
• Designed and implemented test strategies, plans, and traceability matrices, improving test coverage and reducing post-release defects by 30%.
• Mentored junior QA engineers in test design, bug reporting, and performance testing, enhancing team productivity and skill alignment.
• Conducted detailed API testing using Postman and Swagger, verifying request/response integrity for over 50 endpoints across multiple projects.
• Owned and managed test cycles in Agile/Scrum environments—led sprint QA planning, estimations, daily stand-ups, and release sign-offs.
• Coordinated with cross-functional teams (Product, Dev, and NLP teams) to align quality objectives with evolving business and technical requirements.
• Defined and tracked key QA metrics (like defect leakage rate, test execution rate, and defect density), using dashboards and reports to drive data-informed quality improvements and stakeholder visibility.

QA Engineer - Medi Assist

(2021-04 - 2023-05)

• Developed and executed 300+ test cases for internal healthcare claim systems, reducing production defects by 25%.
• Performed functional and regression testing of web dashboards and document workflows used by over 50 partner hospitals.
• Used Postman for API testing of insurance data exchange processes, ensuring compliance with IRDAI regulations.
• Conducted backend data validation using SQL queries for claims processing accuracy and system validation.
• Logged and tracked bugs using JIRA, working with developers and business analysts for effective bug resolution.
• Participated in user acceptance testing (UAT) and provided critical feedback that improved end-user satisfaction.

Software Trainee (Python & Data Science) - S.O. Infotech Pvt. Ltd.

(2020-02 - 2020-05)

• Built and validated Python scripts for internal tools focused on data preprocessing and transformation using Pandas & NumPy.
• Developed classification models using scikit-learn, achieving over 80% accuracy in small-scale ML tasks.
• Gained hands-on experience in data visualization and exploratory data analysis (EDA) using Matplotlib and Seaborn.

Software Developer Trainee - SoftIgnite World

(2016-06 - 2016-07)

• Contributed to the development of web-based modules using HTML, CSS, and JavaScript, assisting in UI improvements.
• Built CRUD operations in MySQL and learned integration with backend scripting.
• Participated in testing small internal applications and provided feedback on UI/UX and logic flaws.

Masters of Computer Application - Computer Application - Bhai Parmanand Institute of Business Studies (GGSIPU) (2021)

Bachelors of Computer Applications - Computer Applications - Maharaja Surajmal Institute (GGSIPU) (2017)

Intermediate - Dashmesh Public School, Vivek Vihar (CBSE) (2014)

Matriculation - Dashmesh Public School, Vivek Vihar (CBSE) (2012)