AI developer, Fullstack, Researcher, Data scientist and engineer
São Paulo, State of São Paulo, Brazil
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Jobs
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AI/ML engineer
Gotiva
Feb 2026 - Current(9 months)
Led the end-to-end development of the RAG-based legal AI platform (JurisIA/GOTIVA), driving the architecture and AI capabilities across backend (FastAPI/Python), frontend. Designed and implemented multi-database architecture with versioned migrations (Alembic), Kubernetes deployments, and end-to-end automation pipelines from design to delivery. Defined the LLM streaming contract using Server-Sent Events (SSE), supporting request cancellation and partial-response persistence. Built core AI features including RAG chat over legal documents with vector search (pgvector/embeddings), automated legal draft generation, CNJ case classification, AI-assisted jurisprudence and legislation search, and LLM-as-judge quality evaluation. Developed MCP serve
Automation & Integration Engineer
Nerdy
Jul 2025 - Jul 2026(1 year 1 month)
Integration & Automation Engineer at Varsity Tutors, leading secure internal platform development across identity and access management, onboarding/offboarding, enterprise integrations, and compliance automation. I design and deliver end-to-end solutions using TypeScript/JavaScript, Python, Next.js, Node.js, Supabase/PostgreSQL, RDS, Okta (OIDC and APIs), AWS Lambda, Netlify, GitHub Actions, Jira/Confluence, Slack integrations, Google Workspace APIs, and I also build workflow automations using Make.com. My work spans systems such as ADP, HubSpot, SendGrid, FedEx, and Greenhouse.
My responsibilities include building RBAC and provisioning/depro
AI/ML Engineer
Grupo Interjato
Jun 2024 - Apr 2025(11 months)
Led research and development of advanced AI solutions, including deep learning, machine learning, RAG systems, and AI agents. Built automation pipelines and intelligent reports to enhance efficiency and decision-making. Drove innovation by applying emerging AI technologies to real-world business challenges. Designed and implemented AI-driven data solutions.
Senior Fullstack Developer
Ericsson
Oct 2022 - Jun 2025(2 years 9 months)
Developing Django/angular automation software, and a cloud based automation software solution (node, azure, svelte, python, kubernetes, docker, bash, CICD in gitlab).
Full Stack Developer
Ericsson
Apr 2021 - Oct 2022(1 year 7 months)
developing and supporting front/back end of internal automation tools. stack: javascript, angularjs, angular, python, django, django rest framework, python microservices, linux, mysql, jenkins, gerrit.
Software Development Specialist
Vodafone
Aug 2019 - Apr 2021(1 year 9 months)
Creating and maintaining React, Angular, Jquery and pure Javascript Applications with Sharepoint as a backend. Developing VBA automation, web crawlers, and VBscripts. Creating power apps and power automates.
Software Development Specialist intern
Vodafone
Mar 2019 - Aug 2019(6 months)
Creating and maintaining React, Angular, Jquery and pure Javascript Applications with Sharepoint as a backend. Developing VBA automation, web crawlers, and VBscripts.
Education
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Doctor of Philosophy - PhD, Business Informatics, Data analysis and Artificial Intelligence
Corvinus University of Budapest
Jul 2021 - Jun 2025(4 years)
Master of Engineering - MEng, Engineering Management
Faculty of Engineering University of Debrecen
Jan 2019 - Jan 2020(1 year 1 month)
Projects (professional or personal)
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Awards
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I
Best Presentation in Informatics Conference OGIK 2023
Issued by OGIK
Won the best presentation prize in informatics conference with my presentation called: "Optimizing Production Efficiency through Hybrid AI in the Energy Sector"
EKOP national excellence programe awarded
Sep
University Research Fellowship Programme (EKÖP, in Hungarian) hosted by Corvinus University of Budapest in Hungary. It's a government-supported program providing monthly scholarships and research mentorship to outstanding undergraduate, master's, doctoral students, and early-career researchers to conduct independent or collaborative research under faculty supervision.
Publications
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Production System Efficiency Optimization Using Hybrid AI Solution and Sensor Data
NOV
J
Machine learning for optimized crop selection: a data-driven approach considering climate and soil type data