AI Tinkerers São Paulo - Google Deepmind Hackathon

Team

AI4Humanity

This team is at maximum capacity.

Project Concept

Project Concept: SUS-Twin – Predictive Healthcare Logistics
SUS-Twin is a digital twin and IoT-based platform designed to eliminate the medicine shortages that currently affect over 80% of Brazilian cities. By synchronizing real-time inventory data from local health units (UBS) with an AI-driven predictive engine, the system anticipates desupply by analyzing seasonal health trends and historical consumption. Unlike traditional reactive management, SUS-Twin provides frontline workers with an intuitive dashboard for real-time order tracking and enables a collaborative “solidarity logistics” network, allowing municipalities to remanufacture or exchange near-expiry stocks. This integration of SDG (ODS) 3 (Health), 9 (Innovation), 12 (Responsible Consumption and Production) and 17 (Partnerships) transforms fragmented public health supply chains into a resilient, data-driven ecosystem that saves both lives and public resources.

Entry

Status: Submitted

Last saved: April 12 at 4:57 PM -03

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Team Roster (team is at max capacity)

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Mirella Mascarenhas Team Lead RSVP Approved

Product Owner Intern at Santander Brasil

Presentation, reaserch using Gemini and management of team's roles and organization.

Technology student with a strong interest in Artificial Intelligence, Data Science, process automation, and data-driven solutions. I have experience participating in hackathons, academic projects, and innovation events, applying technology to solve real-world problems in data, accessibility, sustainability, and financial education. Currently, I am a Treasury Intern (SCIB) at Santander Brasil, acting as a Product Owner for Foreign Exchange (FX) operations and process automation initiatives. On a daily basis, I collaborate with multidisciplinary teams to map business needs, structure technological solutions, and optimize operational workflows, contributing to greater efficiency and innovation within the area. I have a special interest in AI, GenAI, Data & Analytics, MLOps, Open Finance, an

Artificial Intelligence, Data Science, process automation, Cloud Computing and data-driven solutions

Automation of workflows at Santander for FX operations; Academic Project -Virtual Assistant for Natural Disaster Guidance using Prompt Engineering - Built a virtual assistant using Colab and the OpenAI API. - Applied conditional control structures in Python for decision-making. - Designed prompts to handle multiple disaster response scenario

Diego Antonio Silva Mendes RSVP Approved

Estudante at FIAP

Coding FrontEnd with Cursor and research with Gemini

Highly organized and adaptable professional, proficient in Python, C, C++, Javascript, Java, Html and Css. I demonstrate commitment to deadlines and goals, as well as excellent teamwork skills. I possess good interpersonal skills and the ability to handle documents and files, contributing to operational efficiency and technological innovation.

Data analytics and Artificial Intelligence

i've made a program to help with home automation and to visualize energy costs

André Ayello Nobrega RSVP Approved

Estagiário de dados e automação at Link School of Business

Database reaserch, research, coding with Claude and presentation.

19-year-old Computer Science student at FIAP (São Paulo, Brazil) and Data Analytics Intern at Link School of Business. Passionate about leveraging AI for productivity, André excels in full-stack development, data engineering, and performance optimization. Highlights include 3rd place in the XP Innovation Hackathon, building scalable dashboards (Power BI/Tableau) with 50%+ speed gains, Python-based automations via LLM APIs (Claude, Gemini, OpenAI), and financial data pipelines for investment analysis. Tech stack: Python, SQL, JavaScript, Google Cloud, VS Code. Actively automating workflows, gaming on custom PCs, and exploring cloud DevOps for fintech prototypes. Open to collaborations in AI agents and data science.

AI automation, data pipelines, full-stack fintech, cloud DevOps, dashboard/LLM optimization, financial modeling, AI gaming setups.

FIAP Computer Science student and Link School of Business Data Analytics intern. Specializes in scalable data solutions, dashboard optimization (40-60% faster), and AI workflow automations. Key achievements: TED Talk presenter; 2nd place Google Hackathon; 3rd place XP Innovation Hackathon (full-stack Java/Python/SQL apps); fintech prototypes on Google Cloud/Vercel, ETL pipelines, and LLM integrations.

Thiago sakai RSVP Approved

Desenvolvedor frontend at Foursys

Coding BackEnd with Cursor, Gemini and GoogleColab: Python, FastAPI, MongoDB and Node

Sou estudante de ciências da computação na FIAP, atualmente trabalho de estagiário na foursys como desenvolvedor frontend. Meu objetivo como profissional é desenvolver minhas habilidades técnicas e sociais para conseguir alcançar uma vaga no exterior

Engenheiro de software, desenvolvedor fullstack e analista de dados

Plataforma simulando agência de viagem utilizando IA para gerar roteiros, rotas, bagagens e muito mais