Hello, I'm Robayet Ahasan
Software QA Engineer with 1+ year of hands-on experience in manual and automated testing. Skilled in Postman, Selenium, JMeter, Burp Suite, and Apidog, with a strong CSE background and a focus on software quality, reliability, and performance.
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Projects
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Users
Awards
Years
Experience
Assistant Software QA Engineer
March 2025 – PresentOnnorokom Projukti Limited
Dhaka, Bangladesh
- Perform manual and automated testing for web and mobile applications.
- Develop and execute test cases using Selenium WebDriver, Postman, and JMeter.
- Conduct API testing using Postman and Apidog, ensuring reliable endpoints.
- Perform performance testing to optimize application speed and scalability.
- Identify, report, and track software defects with detailed bug reports.
- Collaborate with developers to ensure high-quality software releases.
About Me
I’m a Software Quality Assurance (SQA) Engineer with 1+ year of hands-on experience in automation, penetration testing, and functional testing of large ERP and enterprise platforms. I’ve built and maintained test automation suites and executed manual test plans for complex systems, using Selenium WebDriver, BDD frameworks like SpaceFlow, Postman, JMeter, Burp Suite, and Apidog to ensure reliability, performance, and security. I thrive in collaborative, fast-paced teams—analyzing complex challenges and delivering practical, high-quality solutions—and my commitment to learning and problem-solving has been recognized through successful project deliveries, multiple project show wins, and academic scholarships.
Skills
| Automation Testing | Selenium WebDriver, BDD (SpaceFlow), |
| API Testing | Postman, ApiDog |
| Performance Testing | JMeter |
| Penetration Testing | Burp Suite, ZAP |
| Programming Languages | C#, Java, JavaScript, Python |
| Methodologies | White Box & Black Box Testing, Agile, V-Model, Functional & Penetration Testing |
| Platforms / ERP | Large ERP systems, OpenCart, Orange HRM |
| Tools & Software | Jira, Git, VS, VS Code, Eclipse, Power BI, Kaggle, LaTeX |
| Databases | MongoDB, MySQL |
Education
- United International University - 2024
- Bachelor of Science (BSc) in Computer Science and Engineering
- Dhaka City College - 2019
- Higher Secondary Certificate (Science)
Certifications
- Software Testing for Developers (Coursera): [Link]
- Advanced SQL (Kaggle) [Link]
- Data Analysis with Python (Coursera): [Link]
- Learn Statistics with Python Course by Codecademy: [Link]
- Learn Data Analysis with Pandas Course by Codecademy: [Link]
- Python (Basic) HackerRank: [Link]
Awards and Certifications
Software Testing for Developers by Coursera
Software Testing for Developers by Coursera
Data Analysis with Python
Data Analysis with Python
Advanced SQL by kaggle
Advanced SQL by kaggle
Advance OOP 3rd Runner Up
Advance OOP 3rd Runner Up
Microprocessors & Micro-Controllers Champion
Microprocessors & Micro-Controllers Champion
Final Year Design Project 2nd Runner Up
Final Year Design Project 2nd Runner Up
Volunteer Work at Project Show
Volunteer Work at Project Show
SQL(Basic) by HackerRank
SQL(Basic) by HackerRank
Intro to SQL by kaggle
Intro to SQL by kaggle
My Projects
Open Cart Test Automation Project
Selenium WebDriver, TestNG, Java, Maven.
Developed automation scripts to test OpenCart functionalities.Ensured efficient browser interactions using Selenium WebDriver and organized test management with TestNG. Maintained scalable test cases and streamlined project setup via Maven.
Orange HRM Test Automation
Selenium WebDriver, Python, unittest, Excel
Automated test cases for the PIM module, leveraging Python unittest and Selenium WebDriver. Utilized data-driven testing with Excel, generating detailed HTML reports to streamline analysis.
E-Com Website
NextJS, TailwindCSS, MongoDB, SSLcmz
Next.js page routing
Foundation Management System
NextJS, TailwindCSS, MongoDB
Next.js App routing
EDA on Telco Customer Churn
Pandas, Data cleaning, statistical analysis, visualization
The Telco Customers dataset contains information about customers of a telecom company, including demographics, services used, and churn status. The EDA reveals patterns related to customer churn, helping identify characteristics of loyal customers versus those likely to leave. This analysis can guide customer retention efforts and enhance service strategies.
EDA on Bank Loan Defaulters
Pandas, Data cleaning, statistical analysis, visualization
The Bank Loan Defaulters dataset includes records of loan applications and outcomes for a bank's customers. The analysis identifies customer profiles that are more or less likely to default on loans, covering factors such as income level, employment type, family status, and loan characteristics. These insights assist in risk assessment and can inform the bank's lending strategies.
Url Shortener
NextJS, TailwindCSS, MongoDB
Next.js app routing
Let's Connect
I'm currently looking for new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!
