André Lázari
Quality Assurance EngineerAI Engineering Leader at @dLocal
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineering Leader at @dLocal
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I’m an AI Engineering Leader at dLocal, driving the design and delivery of applied AI products that turn real-world payments and risk problems into production-grade machine learning systems. Previously Data Engineering Tech Manager at Arquivei, with 7+ years evolving from Python/PHP developer into a leader across data platforms, MLOps and AI‑powered solutions. I focus on building LLM- and ML-driven services end to end — from data foundations and experimentation to deployment and monitoring — while mentoring engineers and partnering with product to ship measurable business impact
UFSCar - Alumni
Computer Engineering
January 1, 2011 – Present
dLocal
AI Engineering Leader
March 1, 2025 – Present
Remote
Qive
Tech Manager
October 1, 2023 – March 1, 2025
São Carlos, São Paulo, Brazil
Qive
Technical Lead
August 1, 2021 – October 1, 2023
São Carlos, São Paulo, Brazil
Qive
Senior Software Engineer
December 1, 2020 – August 1, 2021
São Carlos, São Paulo, Brazil
Qive
Career Software Engineer
October 1, 2019 – December 1, 2020
São Carlos, São Paulo, Brazil
Qive
Junior Software Engineer
May 1, 2017 – October 1, 2019
São Carlos, São Paulo, Brazil
Raccoon Marketing Digital
Programmer
July 1, 2015 – May 1, 2017
SEaD UFSCar
Software Developer
June 1, 2014 – June 1, 2015
Blasting Off With Bootstrap
Code School
June 27, 2026 – Present
Shaping up with Angular.js
Code School
June 27, 2026 – Present
Cultural Fit Analysis
The candidate has a long tenure at Qive, indicating loyalty and growth within a single organization. The diverse roles from software development to AI leadership and data engineering suggest adaptability and a broad technical interest. However, the target role of 'Quality Assurance Engineer' is a significant pivot from recent leadership and AI/Data Engineering roles. While a strong technical background is beneficial for QA, the direct alignment with a dedicated QA culture and mindset is not evident from the provided data.
Soft Skills & Operational Fit
The candidate's career progression and roles as Technical Lead and Tech Manager suggest strong leadership, project management, and strategic planning skills. Experience with Kanban and Scrum indicates an ability to work within agile operational frameworks. However, without specific project descriptions or interview data, the depth of these soft skills and their direct applicability to a QA role cannot be fully assessed.