Cassio Pinheiro Oliveira

Participated in LLM-based projects to automate document analysis in the credit approval process, reducing response times and increasing decision accuracy. Implemented graph-based and RAG-enhanced systems to support complex decision-making using unstructured data.

Facilitated decision-making processes measured by improved employee satisfaction ratings using data-driven insights. Boosted customer service efficiency by 25% measured by hours saved using an innovative predictive service tool. Improved data pipeline efficiency by 30% measured by reduced processing time using machine learning techniques on historical trends.

Facilitated technical support measured by a 20% decline in system errors through the deployment of an advanced credit approval solution. Enabled synergy measured by a 25% reduction in miscommunication issues using structured feedback sessions.

Implemented machine learning algorithms measured by 50% faster incident response times using surveillance cameras for real-time activity detection. Implemented automated alert recommendations measured by incident response time reduced by 30% using Big Data techniques.

Orchestrated the design and deployment of a comprehensive system measured by enhanced inter-departmental collaboration using modern APIs. Facilitated data-informed enforcement actions measured by 30% increase in compliance using cross-referenced inspection targets. Designed ETL pipelines measured by a 30% increase in real-time analytics accuracy using Apache Airflow and Python.

Designed and implemented a digital tool to automate Fortaleza’s municipal inspection process, enabling real-time tracking, route optimization, and case management. Improved inspector readiness measured by 25% reduction in preparation time using an upgraded monitoring system. Developed an innovative digital tool that achieved a 30% reduction in inspection time through the implementation of real-tim

Developed an internationally recognized end-to-end tool by effectively managing large-scale biological datasets for reproducibility. Developed a CAR-T fragment generation system, increasing output efficiency by 25% through automation of the computational pipeline.

Designed a clinically validated VR device measured by a 25% improvement in rehabilitation efficiency through tailored therapeutic methods. Obtained $25,000 in public funding measured by successful grant submissions using a detailed project roadmap. Built the entire solution stack: 3D interaction with Unity + C#, data collection with Leap Motion, and AI analysis using Python and ML techniques.

Orchestrated computational efforts measured by a 40% increase in prediction speed using retrospective clinical data for COVID-19 patient outcomes. Engineered ETL pipelines measured by a 50% increase in data processing speed using Java (Spring Boot) and Python.

Constructed ETL pipelines measured by 40% reduction in interdepartmental communication time using SharePoint integration. Achieved 25% faster performance measured by reduced response times using scalable services developed in C#, Java, and Python.

Streamlined administrative processes measured by 15 hours reduced weekly using BPMN and internal tools in C#. Optimized SQL Server and PostgreSQL databases measured by 30% report accuracy improvement using performance tuning techniques.

Contributed to 5 high-impact projects measured by client satisfaction ratings using backend development in Java. Collaborated to enhance application performance measured by 30% faster load times using agile methodologies. Supported 20% fewer bugs reported by applying clean code practices using standard architectural patterns.

Currently pursuing a Doctoral degree in Biotechnology. Engaged in ongoing research and academic development in the field.

Pursued doctoral studies focusing on Biotechnology and Health at Fiocruz. Engaged in advanced research and academic coursework within the program.

Completed a Master's degree in Applied Informatics with a specialization in Intelligent Systems. Focused on advanced topics in computer science and artificial intelligence.

Obtained a Bachelor's degree in Information Technology. Studied core concepts and practical applications in the field of technology.