I work on the development and technical leadership of innovative projects, using a variety of technologies and approaches, resulting in efficient, scalable, and tailored solutions.- Creating a platform for executing neural network inference processes on images and videos. Utilizing the TensorRT inference engine, the efficiency of inference increased by 4x compared to the original models.- Developed a web platform and PWA application for assets inspection in right-of-way corridors. I started as a developer and evolved into the role of Tech Lead, where alongside development, I led a team of two colleagues. Achieving 100% client requirements delivery, even with reduced resources.- Development of a web app for annotating geographic images with Convolutional Neural Networks, allowing visualization and filtering of results on a map.- Development of an image annotation platform and training of Convolutional Neural Networks. I grew from an intern contributing simple functionalities to performing advanced feature development, including an automatic annotator using trained networks, which increased the efficiency of annotator's work.- Development of various scripts for specialized tasks, including data verification and validation, geographic data manipulation, and data structuring across various technologies and applications, especially MinIO and CVAT.

Development of the front-end and back-end of the web app, which consisted of a kanban-style platform aimed at optimizing the organization of work for technicians specialized in electronics repairs. My responsibilities were:- Conducting maintenance on the platform, ensuring the proper functioning of the application.- Implementing new features and modules based on client demands.