Adriana Dinis

• Lead a global innovation and prototyping platform for Digital Solutions, formed of a multidisciplinary team of 6 where we test, benchmark, and scale emerging technologies across Cloud, AI, and edge applications. • Define and execute the strategy for dynamic hardware and software prototyping, feasibility assessments, and architecture benchmarks to accelerate time-to-market for digital tire products. • Steer cross-functional collaboration between executive leadership, product managers, software teams, a

• Architected end-to-end automated ETL workflows for HR data using KNIME, Dremio, Python, AWS Redshift cloud database and developed enterprise PowerBI dashboards to deliver actionable insights to C-level stakeholders. • Provided consultancy on global data architecture and analytics strategies for enterprise-wide HR data pipelines, ensuring governance, security, anonymity, and regulatory compliance. • Designed and applied advanced analytics methods, including Natural Language Processing (NLP), to optimiz

• Led the technical vision and software development of an enterprise AI solution utilizing computer vision and drone-based infrared imaging for automated anomaly detection. • Architected scalable cloud pipelines on AWS and optimized machine learning inference workflows by using Lambda microservices with Python and C++ within automated CI/CD environments (Docker, Jenkins, Git, Jira). • Oversaw the full software lifecycle management following an Agile/Scrum set up for the team in an international set-up (In

• Architected enterprise reporting and ETL pipeline infrastructures, automating SAP data extraction, cleaning and normalization to support Machine Learning models and graph-based knowledge bases (Neo4j) with the help of KNIME, Python & R, AWS EC2 & Redshift. • Prototyped ontologies and knowledge graph frameworks for complex information retrieval and text similarity analysis. Did benchmarking to LLM models output. • Served as technical mentor across peer groups, driving knowledge dissemination/trainings, a

• Lectured and designed practical lab curricula for Operating Systems (Linux), Algorithms Data Structures (Python), and Object-Oriented Programming (C++). • Conducted applied R&D in cloud architecture optimization and graph-based search optimization algorithms. • Student thesis coordinator

• Designed test plans (regression, integration, smoke testing etc.) and created reports both for manual and automated testing (desktop and web apps). • Implemented the first automated testing pipeline for web apps (with Selenium Java-jUnit and in C#-nUnit- for testing import functions). • Created database queries (MS SQL and Oracle, to check data integrity). • Handled bug management and reporting (jTrac), stakeholder communication, onboarding and training new colleagues.

• Provided help-desk support (software installation, updates, troubleshooting and consulting). • Developed and updated university’s web sites (technologies: HTML, PHP with Zend framework, CSS, database design, creation and maintenance (MySQL).

Curricula: International regulations regarding clinical trials | Meta-analysis methods | Probabilities and statistical inference | Linear models | Programming in R | Database systems (Oracle) | Design and analysis of clinical trials | Data Mining | SPSS and Weka. Thesis on forecasting models.

Curricula: • Mathematics: Algebra, Calculus, Geometry, Differential Equations | Probabilities and Statistics (assisted by specific software: MATLAB, Maple, Mathematica) • Computer Science: C, C++ (OOP), Java | Databases (MS SQL, Oracle) | Web Technologies | Operating Systems (Linux) | Comput