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Humayun Ahmed Ashik

Sr. Software Engineer In Test at CHEQ

Humayun Ahmed Ashik has a diverse work experience in various roles related to software quality assurance and engineering. Humayun Ahmed is currently working as a Senior QA Automation Engineer at CHEQ Inc. since January 2023. Prior to that, they worked at Kona Software Lab Ltd. from July 2019 to January 2023, starting as a Junior Engineer in Software Quality Assurance and progressing to Engineer Levels 1 and 2. At Kona Software Lab Ltd., they gained experience in R&D and global solution business for South Korean smart card industry pioneer KONA I Co. Ltd. In addition, Humayun worked as a Project Engineer at Robi Axiata Limited from February 2019 to June 2019.

Humayun Ahmed Ashik completed their Bachelor of Science (BSc) in Computer Science & Engineering from Rajshahi University of Engineering & Technology between 2014 and 2018. Prior to that, they obtained their Higher Secondary Certificate in Science from New Govt. Degree College (Rajshahi) between 2011 and 2013.

In terms of additional certifications, Ashik has acquired several. In February 2023, they obtained the Certified Scrum Developer (CSD) certification from Scrum Alliance. Humayun Ahmed also completed the course "Setting a Foundation for Successful Test Automation" from TestAutomationU in January 2023. In May 2022, Ashik gained knowledge in "Master JMeter from Basics (Performance + Load + API Testing)" through an online course provided by Udemy. Other certifications include SQL (Basic) from Hacke in July 2021, Continuous Delivery & DevOps from Coursera in January 2021, Introduction to Scrum from BlazeMeter University in January 2021, Penetration Testing and Ethical Hacking from Cybrary in January 2021, Cloud Computing Basics (Cloud 101) from Coursera in May 2020, Databases and SQL for Data Science from Coursera in May 2019, HTML, CSS, and Javascript for Web Developers from Coursera in March 2019, and Intro to Linux Shell Scripting from Udemy in January 2019. Finally, in May 2018, they completed the courses "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" and "Neural Networks and Deep Learning," both from Coursera.

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