Machine Learning Engineer

• Designed and launched an application leveraging Large Language Models (LLMs), including Mixtral 8x7B, to analyze and evaluate client codebases.
• Successfully implemented and managed the application's deployment on AWS Batch, utilizing Docker and Amazon ECR for efficient scaling and management.
• Spearheaded the development of the MVP utilizing OpenAI's ChatGPT and LangChain, demonstrating innovative use of AI for code analysis.

Vale S.A. is a Brazilian multinational corporation engaged in metals and mining and one of the largest logistics operators in Brazil.

Machine Learning-Driven Process Optimization:

▪ Spearheaded a data analysis initiative to optimize the coordination of metal parts' thickness measurements.

▪ Developed and deployed machine learning models to predict measurement outcomes, reducing the need for exhaustive measurements.

▪ Achieved substantial cost savings of R$85,000 by implementing advanced sampling techniques based on predictive modeling.

Textual Analysis & Risk Mitigation:

▪ Pioneered a project utilizing natural language processing (NLP) and machine learning for textual analysis.

▪ Applied text clustering algorithms to maintenance notes (SAP), identifying patterns and reducing the structural risk of assets.

▪ Implemented the developed model into the operational workflow, enhancing asset management strategies on AWS.

• Spearheaded the analytics initiative for comprehensive campaign monitoring, focusing on key performance indicators (KPIs) such as engagement rate, reach, impressions, and conversion rate to optimize digital marketing strategies and enhance social media presence.
  • Developed and maintained advanced data analytics frameworks to assess and report on social media campaigns' impact on public opinion and policy-making, facilitating strategic adjustments and stakeholder reporting.
  • Expertly integrated diverse data sources into a cohesive analytics platform, ensuring accurate and actionable insights. Pioneered the use of advanced statistical models and machine learning algorithms to predict trends and evaluate campaign effectiveness.
  • Designed and deployed interactive dashboards and reports using Power BI and Looker, enabling real-time data visualization and decision-making. These tools provided stakeholders with intuitive access to data insights, significantly improving the decision-making process.
  • Conducted regular A/B testing and sentiment analysis to refine content strategy, contributing to a measurable increase in follower growth and online engagement.
  • Collaborated with cross-functional teams to pilot new data-driven approaches for product and service innovation testing at live festival events, enhancing the user experience and product viability pre-market launch.