Felipe da Motta

• Building Agents: Architecting and deploying stateful AI agents using LangGraph and LangChain to create multi-agents used to generate synthetic data and evaluate Assist Chat.
• Developing and optimizing high-performance RAG pipelines.
• Implementing evaluation frameworks to mitigate hallucinations and ensure grounded, accurate performance in high-pressure, regulated environments.

Conducted research and developed machine learning models for fraud detection on multi-million-row datasets, applied SMOTENC to address severe class imbalance, and published two peer-reviewed papers while aligning models with stakeholder business objectives.

Developed ML models to detect fraud in water/sewer connections, driving an ARR increase of approximately $1M in one city and improving billing accuracy and regulatory compliance through audits and cadastral updates.

Performed localization, QA testing, translation, and UI analysis for websites and mobile apps, improving user experience across platforms and intelligent assistant devices.

Led a team of ~5 engineers and interns on water and sewage projects, transforming the project approval process and upgrading methods/materials to meet regulations, setting a company benchmark for compliance and efficiency.

Supervised construction of water and sewage infrastructure including treatment plants and pumping stations, improving system reliability for approximately 50,000 residents.

Built 31 houses leading a 5–10 person team through project planning, approvals, budgeting, contractor management, and delivery while conducting customer interviews and pricing models.

Managed project analysis and design, conducted construction inspections, and oversaw budgets for street, drainage, and traffic engineering projects to ensure standards and efficiency.

Oversaw engineering analyses, construction inspections, and budget management for public and private street and drainage projects, ensuring compliance with technical standards.

Master's degree in Computer Science with research focused on applying supervised machine learning techniques for fraud detection in water supply systems.

Activities and societies: Violinist - Undergraduate Scholarship; performed approximately 12 concerts annually.

Bachelor's degree in Civil Engineering with coursework and professional practice relevant to infrastructure, water and sewage systems.

Participant in a Work and Travel student exchange program based in Vevay, Indiana.