
Bảo Tô
@bot
I build reliable AI evaluation tools and automated QA systems for complex software products.
What I'm looking for
At GTV, I tested a multi-country digital banking and payments platform across web, mobile, and backend APIs. I built Playwright and Cypress automation in GitLab CI, reducing regression cycles from roughly eight hours to five.
I've combined seven years of QA work across banking, fintech, logistics, telecom, and real estate with practical AI/ML evaluation research. My work includes API and SQL validation, root-cause analysis, test strategy, defect management, and automation frameworks built from scratch.
Through TraceCase, I designed and shipped a React SaaS application for anti-hallucination test-case generation. It uses a maker-verifier approach to distinguish evidence-backed EXPLICIT outputs from justified INFERRED assumptions and calculates a grounding ratio for output reliability.
I'm building an LLM evaluation portfolio with DeepEval and exploring cross-model benchmarking through OpenRouter, along with Claude Code subagents for debugging, test strategy, architecture, and code review.
Experience
Work history, roles, and key accomplishments
QA Engineer — AI/ML Model Testing & Evaluation
TÔ HOÀI BẢO
QA Engineer with 7+ years of software testing experience, specializing in AI/ML model testing and evaluation. Built an LLM evaluation framework on DeepEval and an anti-hallucination test-case generator using a maker-verifier methodology.
Education
Degrees, certifications, and relevant coursework
University of Greenwich
Bachelor of Science, Computer Science
2011 - 2014
Bachelor of Computer Science degree from the University of Greenwich, completed from 2011 to 2014.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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