Sania B.

Shipping a web app, mobile app or AI chatbot and worried about bugs reaching your users? I find them before your customers do. In my last 4 AI projects, I caught 𝟓𝟎𝟎+ 𝐛𝐮𝐠𝐬 (𝟐𝟎𝟎+ 𝐜𝐫𝐢𝐭𝐢𝐜𝐚𝐥) before launch, from broken integrations and wrong report data to chatbots giving inaccurate answers. I'm a 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 QA Engineer with 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 and 3+ years in software. I started as a Python developer, so I understand the code behind the bugs and write automation that lasts. 𝐖𝐇𝐀𝐓 𝐈 𝐓𝐄𝐒𝐓 • AI chatbots & LLM apps: accuracy, context, relevance and hallucinations, checked against real data • Web, SaaS & mobile apps (iOS/Android): functional, regression, end-to-end, UAT and cross-browser • APIs & integrations: REST APIs, Stripe, Xero, GA4 and other third-party tools • Data & documents: PDF/ZIP uploads, extraction accuracy and calculations 𝐑𝐄𝐂𝐄𝐍𝐓 𝐖𝐎𝐑𝐊 • AI finance chatbot: 100+ test cases (2FA, Stripe, Xero, reports), 15+ APIs, Cypress regression suite. 200+ bugs found • AI analytics chatbot: AI response accuracy and GA4/Search Console data validation. 200+ bugs found • AI invoice extraction: PDF-to-CSV accuracy, totals and confidence scores. 50+ bugs found • AI document chatbot: file parsing and answer accuracy against source data. 60+ bugs found 𝐖𝐇𝐀𝐓 𝐘𝐎𝐔 𝐆𝐄𝐓 • A clear test plan before testing starts • Automated regression with Cypress & Selenium • Bug reports in Jira or Azure DevOps that developers can fix fast • Regular updates within your sprints 𝐓𝐎𝐎𝐋𝐒: Cypress, Selenium, Postman, Python, Jira, Azure DevOps, BrowserStack, LangSmith Have a product launching soon? Send me a link, and I'll reply with a quick plan of what I'd test first.