I'm Kazal Chandra Barman, a Lead SQA Engineer with over 5 years of experience specializing in AI/ML systems, OCR pipelines, NLP model testing, and web automation. I’ve built scalable QA strategies, designed automation frameworks, and led teams to deliver high-quality releases across fast-paced, AI-driven platforms.
🚀 Proficient in tools like Cypress, Selenium, PyTest, Postman, and performance tools like JMeter and Locust. I integrate QA into CI/CD pipelines using GitLab, Docker, and AWS — ensuring performance, security, and stability in both frontend and backend systems.
📸 I’ve led quality efforts in advanced domains like multilingual OCR (Bangla, English, Japanese), computer vision–based virtual try-on platforms, and annotation tools serving multiple ML teams. My testing scope spans UI/UX, API, database, and cross-browser validation — all under Agile environments.
💡 Passionate about innovation and quality-first engineering, I’m always eager to explore cutting-edge AI testing strategies and collaborate on meaningful, scalable solutions. Let’s build the future of software quality together!
Happy testing & exploring! 🤖