Faiz Ansari

Dedicated QA professional with 3+ years of experience in manual and basic automation testing of Agentic AI chatbots and web applications across multiple channels. Experienced in functional, regression, integration, UAT testing, test case design, and defect management using Jira, with working knowledge of Selenium. Seeking to contribute to a growth-focused organization by improving QA processes, automation capabilities, and software quality.

Associate QA at Streebo Inc. (2023-07 – Present)

• Worked on 6+ production AI Agentic chatbot projects, including 2+ major projects: a multilingual, multi-channel E-commerce AI chatbot covering product discovery, cart, checkout, and order flows, and a Catalogue Search AI Agentic Bot handling mass data with COG and PCF.
• Also worked on support projects by identifying bugs, testing new fixes and releases, and contributing to improved chatbot accuracy and reliability.
• Identified and reported major/blocker bugs based on severity and priority, followed the defect lifecycle, performed root cause analysis, retesting, and regression testing, and improved project accuracy from 60–70% to 95%+.
• Performed end-to-end testing of AI-driven Agentic chatbots in live production environments, identifying and validating bugs and improvements, resulting in improved accuracy, stability, and overall quality
• Designed, documented, and executed 850+ test cases covering functional, regression, smoke, and sanity testing across end-to-end user journeys; supported demo, sales, and product-related tickets
• Conducted scenario-based and conversational testing across 450+ QA scenarios, covering intents, entities, dialog flows, greetings, fallback handling, transactional FAQs, and out-of-domain scenarios
• Executed 300+ automation test cases using Selenium, including XPath creation and debugging of automated test flows
• Logged and tracked a high volume of valid defects and improvement suggestions using Jira, collaborating with development teams for timely resolution
• Created and maintained QA artifacts and use case documents using Excel and Word, covering functional, conversational, and business flows through release sign-off
• Performed multi-channel testing across 4+ channels (WhatsApp, Facebook, Instagram, Mobile Browser) and 3+ environments; conducted voice bot and live agent handoff testing across 6+ languages, including escalation flow validation.

Bachelor of Computer Applications (BCA) – Dr. Babasaheb Ambedkar Open University

Higher Secondary Certificate (HSC), Class 12 – The New Era High School (2022 – 2022)

Secondary School Certificate (SSC), Class 10 – The New Era High School (2020 – 2020)