Jhonathan Campos

I lead AI governance and EU AI Act operationalisation for high-risk AI systems in a digital mental health environment for minors. - Own EU AI Act compliance for AI systems classified as high-risk under Annex III, involving sensitive mental health data of children and young adults. - Translate legal obligations into technical, organisational, and product-level controls aligned with GDPR, ISO/IEC 42001, ISO 27001, and AI governance standards. - Govern the AI system lifecycle across data sourcing, model devel

Built AI/data governance while contributing directly to machine learning pipeline work in an applied research environment. - Developed Zuse Institute Berlin’s first Data and AI Governance Framework, aligned with GDPR, EU AI Act requirements, and privacy-by-design principles. - Established governance standards for advanced AI research in a Berlin state research institute connected to 150+ scientific institutions. - Contributed to an explainable AI research project that produced a publication in Scientific Re

Information Security Policies and Controls: Defined ISO/IEC 27001-aligned information-security policies and controls as an independent consultant; technical implementation remained with the firm's technical team. Risk and Control Translation: Translated risk and control requirements into implementable legal and governance documentation for the firm's technical team.

Built the privacy and AI governance foundations for a digital mental health platform handling sensitive personal data. - Architected a four-year privacy strategy under German and European data protection law using the NIST Privacy Framework and IAPP guidance. - Designed and built the organisation’s first AI governance programme, structured for EU AI Act readiness and AI liability exposure. - Conducted data mapping, risk assessment, and remediation across organisational data flows. - Implemented Privacy by D

Supported data governance, privacy compliance, analytics, and web implementation for a US-based financial and insurance business. - Worked across financial, insurance, customer, product, and marketing data in a regulated business context. - Supported GDPR-aware and US data compliance review of data collection, analytics, reporting, and web platform workflows. - Mapped data flows across web analytics, customer interactions, marketing funnels, and business reporting processes. - Helped define privacy-consciou

Technical Data Fluency: Worked with scientific data pipelines, gene-dataset analysis, feature engineering, data normalisation and dimensionality reduction under strict data-protection requirements. Cross-Disciplinary Delivery: Connected research requirements with software implementation, strengthening practical understanding of how sensitive data moves through technical systems.

Worked on a healthtech project combining machine learning, genetic data analysis, and product development in a university hospital environment. - Led gene dataset analysis for feature engineering, data normalisation, and dimensionality reduction. - Supported machine learning work in a cross-disciplinary research and healthtech setting. - Contributed technical analysis to a personalised treatment outcomes project. - Worked at the intersection of genetic data, machine learning, clinical research context, and

Built practical full-stack engineering experience across web applications, databases, APIs, and agile delivery. - Supported development of web applications from planning through implementation and deployment. - Built front-end features using Remix and Next.js, with attention to responsive design, reusable components, and performance. - Worked with PostgreSQL and Prisma to support database schemas, API development, data integrity, security, and maintainability. - Participated in agile delivery with senior en

Legal Practice and Advice: Completed 15 years of continuous legal practice supporting appellate judges, Presidency-level offices and senior judicial leadership, preparing draft decisions, opinions, memoranda and appellate materials for judicial review. Data Protection Under Legal Obligation: Handled family, minors', medical, financial and criminal-proceeding information under strict legal, procedural and professional confidentiality requirements. Data Subject Rights in Legal Practice: Worked on informati

Built legal analysis, institutional drafting, and regulatory reasoning experience in Brazil’s largest court system by caseload. - Drafted judgments, rulings, appeals, and legal analyses for judges across complex civil and administrative matters. - Conducted legal research supporting judicial decisions with binding legal effect across São Paulo state. - Worked with sensitive judicial records and institutional information governance requirements at large scale. - Developed legal drafting discipline for docume

AI and Machine Learning : Development and implementation of AI models and machine learning algorithms, including predictive analytics and natural language processing. Data Science: Conducted in-depth research on data-driven decision-making, big data analytics, and statistical modeling. Cybersecurit

Graduating from the University of São Paulo's law program, renowned as the top law school in Latin America as of 2024, highlights a significant academic achievement. Gaining admission to this prestigious institution, known for its selective process, is a testament to my dedication and proficiency.

This rigorous course not only equipped me with a deep understanding of electronic principles and systems but also increased my proficiency in troubleshooting, system design, and innovation in technology application. I am adept at addressing complex electronic challenges with precision and creativit