Work & Research

Jun 2026 – Present

• Implemented a new cloud infrastructure to make both the API and the database scalable.
• Backend coding and review.
• Participated in the integration of different systems with the GoTwin ecosystem.
• Developed IoT Monitoring Solutions for a critical step on the prefabrication pipeline (partnership with BluFab).
• Participated in the IoT roadmap decisions for the next 3 years.

Jun 2025 – May 2026

• Designed and implemented a gateway for the IoT system using NodeJS, WebSockets and MongoDB.
• Contributed to the architecture, modelling and implementation of the system's backend IoT layer.
• Implemented a VPN (Wireguard) for security, gateway maintenance and remote access (SSH and SFTP).
• Administered Linux environments; created logging, monitoring and developed automation flows using Shell Script.
• Set up, configured and maintained cloud infrastructure on AWS.
• Managed containers and virtual machines (VMs) on the gateway using Docker and Proxmox.
• Maintained, monitored and improved the system's REST API (NodeJS).
• Integrated sensors and actuators with AI tools for intelligent control and monitoring.
• Configured and developed solutions for the Boston Dynamics Spot Robot, in partnership with TOPBIM.

Nov 2024 – Apr 2025

• Automated the company's billing process using Python and third-party APIs.
• Implemented large language models (LLMs) to build an internal retrieval-augmented generation (RAG) system.
• Developed web automation bots using Selenium (Python).
• Designed, implemented and maintained the company's cloud infrastructure on Oracle Cloud.

Sep 2023 – Nov 2024

• Designed and implemented the MySQL database for the company's commercial department.
• Developed automation pipelines for multiple business areas.
• Built automated dashboards using Looker Studio and Power BI for the Finance and Commercial teams.
• Automated the commercial team's ETL data flow using Python and SQL on Oracle Cloud, reducing the data refresh interval from weekly to 15 minutes.
• Defined and implemented KPIs for the Finance and Commercial teams.

Aug 2020 – Aug 2021

• Researched and applied state-of-the-art document classification techniques for large-scale fraud detection, achieving over 95% accuracy and a high F2 score.
• Collaborated with the CVM Data Science team and UFRJ Mathematics Institute faculty to design, validate, and refine models.
• Built an NLP pipeline in Python (TF-IDF, spaCy, NLTK, Word2Vec), including feature selection using Mutual Information and hyperparameter tuning with GridSearch.
• Deployed the best-performing model for internal use via a Streamlit application.

Oct 2019 – Aug 2022

• Led teams in hackathons and datathons, including Hacking.Rio 2021 where two Analytica teams won among 280+ competing teams.
• Managed a group of 20+ members, coordinating educational materials and study plans for new members.
• Oversaw the recruitment process and supported the acquisition of new projects and partnerships.
• Collaborated on data projects with the Rio de Janeiro City Hall and the State Health Department.

May 2020 – Apr 2022

• Performed data mining, exploratory data analysis and visualisation to identify patterns and insights.
• Researched and applied techniques for handling missing data, imputation, and variable selection.
• Built and evaluated machine learning models, including time series analysis and forecasting.

Sep 2019 – Mar 2021

• Supported laboratory sessions for the Logic Circuits course.
• Managed logistics and troubleshooting for student-submitted simulation files.
• Delivered exercise classes covering combinational and sequential circuits.