Profile

Software Developer with a broad expertise that bridges complete web systems and low-level embedded applications.

I excel at architecting robust solutions that fulfill business needs, from designing containerized backends and distributed messaging systems to crafting intuitive, high-performance front-end applications. My experience spans technical leadership roles where I've driven architecture decisions, mentored teams, and refined development processes, as well as hands-on roles developing end-to-end systems in fast-paced, diverse environments.

Experience

• Led technical decision-making and architecture discussions across frontend and backend projects.
• Scoped tasks and estimated projects to improve planning, delivery timelines, and team efficiency.
• Continued to develop as an individual contributor, working on both frontend and backend systems.
• Provided mentorship and technical guidance to the team, fostering growth and improving development workflows.

• Maintained and enhanced backend services while taking on frontend development responsibilities.
• Led and collaborated with the team to redesign and rebuild the entire web frontend and mobile app, which was a great success improving performance and stability.
• We moved state management to Jotai, TanStack Query and React Hook Form, simplified mobile development with Expo, unified our design system with Material UI, implemented UI tests using Playwright, among other architectural improvements.

• In charge of developing all backend architecture, database modelling, infrastructure, CI/CD and deployments.
• Redesigned the backend from the ground up utilizing dockerized FastAPI apps and PostgreSQL in a microservice architecture, along with Kafka for distributed messaging and stream processing of patient data.
• Coordinated with the team to implement a development process with good git practices, code reviews, CI/CD and conducted inverviews for selecting new hires.

• Developed the web interface for a glass material flow and shrinkage simulation software.
• Worked on the fronted using React with Plotly.js, D3.js and MUI.
• Reimplemented the Flask+MongoDB backend leveraging FastAPI for the web server.

• Worked for a water distribution company on an automatic leak detection system using flow rate data.
• Analyzed and built processing logic for the collected data using Pandas and Numpy.
• Developed and trained ML models with PyTorch for detecting the water leaks.

• Worked together with Renault to implement fault detection algorithms using Python and TensorFlow on data collected from automobiles.
• Research and development of AI systems, with an emphasis on automotive IoT data analysis and embedded applications.
• Developed GUI batch processing tool using QT and Python for analysis of Renault's internal car validation test data.

• Worked on user interfaces for a variety of use cases, including a news app for a national TV broadcaster, analytics dashboard for a bank and a food industry distribution system, using primarily React and React Native.
• Developed back-end services mainly with Node on an AWS Lambda architecture backed by MongoDB with automatically orchestrated deployments by Serverless Framework.
• Often chosen to handle tasks where the team had little experience, such as a PySpark/PostgreSQL/AWS Glue ETL pipeline, and a Dockerized WhatsApp Bot, quickly learning what's needed to complete the job.
• Coordinated with the team to follow DevOps best practices such as Code Reviews, CI/CD, good test coverage, daily meetings, and biweekly sprints.

• Helped students with programming logic concepts and Data Structures & Algorithms exercises in C, such as implementing Binary Search Trees, Linked Lists, and identifying memory bugs.

Knowledge & Skills

• GNU/Linux, Docker, Git, Bash Scripting.
• JavaScript, TypeScript, Python, C/C++, Rust.
• React, React Native, HTML, CSS, PySide6 (QT).
• Pandas, NumPy, Matplotlib, TensorFlow, PyTorch.
• AWS Services: Lambda, API Gateway, AWS S3, Glue, Athena.
• Agile/Scrum methods, Project Management, Teamwork, and Leadership.
• PostgreSQL, MongoDB.
• Electronics and embedded devices.

Academia

• Degree completed on time, with no subjects failed and an average grade of 8.21/10
• Bachelors requisites partially completed in RWTH by taking some master's subjects focusing on Machine Learning and Distributed Computing

• An investigation was carried out by performing experiments with a Renault Sandero car, collecting some sets of variables for batch analysis. In this paper, we use artificial intelligence techniques with a data-driven approach, more specifically, machine learning, to detect the phenomenon of engine knock
• Available at https://ieeexplore.ieee.org/document/9965059

• This work implements a fault detection approach from time series data, in order to provide an overview of the existing Machine Learning techniques and how to apply them. For this, the problem addressed was Knock in automotive engines, a combustion failure that generates noise and wear. Where data is collected by the Electronic Control Unit (ECU) generating the time series of system variables.
• Available at https://repositorio.ufsc.br/handle/123456789/237502

Volunteering

• Participated in the Scout Movent, learning leadership, group work and to be a better citizen.
• Giving back to society through volunteer work, like charity meals and donation gathering.