Interview Mind Map

I'm a Business Analyst and Requirements Engineer with 9+ years of experience, mostly in regulated environments such as ANVISA — Brazil's health regulatory agency — Petrobras, and the Paraíba State Treasury. My specialty is turning complex needs into clear, testable, auditable requirements. In recent years I've applied GenAI to that work: faster regulatory analysis, test scenario generation, and consistency validation. I also evaluate LLMs in international projects, and I'm an MSc student researching exactly this: LLMs applied to Requirements Engineering.

I work at the intersection of requirements and GenAI: I apply LLMs to accelerate regulatory analysis and generate test scenarios in regulated systems, I evaluate models on international platforms — Turing and Outlier — doing SxS evaluation and fact-checking, and I research LLMs applied to requirements in my master's. All of that sits on 9+ years of solid requirements work at ANVISA, Petrobras, and SEFAZ.

S: portfolio of 50+ regulatory systems plus discovery for the SNCR, a national initiative. T: translate dense rules into traceable requirements, LGPD-compliant. A: discovery with senior stakeholders, BDD/UAT stories, prototypes, API contracts, GenAI in regulatory analysis. R: auditable artifacts, less rework, more predictable delivery.

S: high volume of regulations to validate against screens and integrations. T: accelerate without losing quality. A: LLM workflows + guardrails + human review for analysis, test scenarios, and consistency checks. R: faster analysis cycles with preserved quality.

S: corporate systems evolution in an agile multidisciplinary environment. T: testable requirements with value-based prioritization. A: elicitation, refined stories, function point estimates. R: predictable delivery and business-IT alignment.

S: state tax modernization. T: map and specify financial workflows. A: BPMN (Bizagi), interviews, Scrum/Jira/Kanban. R: process efficiency and direct support for increased public revenue.

S: local businesses and educational products needed automated service. T: build reliable bots. A: Typebot + ChatGPT API, business rules, iterative behavior tuning. R: fewer out-of-context responses, higher first-contact resolution.

S: international AI training platforms. T: evaluate responses with reproducible rigor. A: SxS, evidence-based fact-checking, error-pattern documentation for RLHF. R: contribution to reduced hallucinations and better model alignment.

Frame: project cycle completed with solid deliveries + deliberate repositioning to combine requirements and GenAI. Never speak badly of the contract or company. Close looking forward: "what I am looking for now is..."

Frame: "My experience lowers your risk and my ramp-up time. What attracts me here is [real element of the role], and seniority to me means delivering and raising the bar of the team, not demanding a title."

Frame: "One main full-time engagement (ANVISA) plus deliberate part-time freelance projects in GenAI to build hands-on LLM evaluation experience. All delivered with results."

Frame: research the range beforehand; answer with a range, not a single number; anchor on value: "given the scope of the role, my range is X–Y, flexible depending on the full package."

"I have not worked with Qlik. My BI tool is Power BI, in real use for decision dashboards. The modeling logic transfers; the syntax is quick to learn."

"I use Python for automation and GenAI, not for analysis pipelines. For analysis, my strength is analyst-level SQL and Power BI. If the role requires pipelines, I am transparent: that is a development area for me."

"I have not worked on that specific platform, but I have integrated and specified REST API contracts in critical systems — the integration pattern is familiar; the specific product can be learned."

How is success measured in the first 6 months? · What is the biggest bottleneck between business and development today?

How does the team use (or plan to use) GenAI in its workflow? · Is there a defined AI governance?

What does refinement and prioritization look like? · Who are the hardest stakeholders to align?