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Everton Mota

Everton Mota

Software Engineer | Full Stack • Embedded & Edge Systems

Talento
Matosinhos, MatosinhosMembro desde 16 de junho de 2023
PythonC++TypeScriptFlaskREST APIsAngular 18RxJSDDS (Fast-DDS)gRPCSSERESTRTSPMediaMTXGStreamerAzure DevOpsGitHub ProjectsDockerSnapcraftNginxJFrog ArtifactoryGitctrlX OSNVIDIA JetsonI²CCANOpenCVPyTorchYOLOTensorRT
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PythonC++TypeScriptFlaskREST APIs

Sobre

Software Engineer with hands-on experience in full-stack development using Python/Flask, TypeScript and Angular. Experienced in distributed systems, REST APIs, debugging and CI/CD for industrial edge applications. Background in C++, embedded systems, computer vision and AI inference.

Experiência

Software Engineering Intern at Bosch Life Safety Systems (2025-12 – Present)

  • Develop and maintain components of the AVIOTEC Fire Detection App running on the AVIOTEC e-server (ctrlX OS) using Python/Flask, TypeScript and Angular 18, collaborating with an international, cross-functional engineering team using Agile/Scrum practices and Azure DevOps Boards.
  • Implement backend improvements involving physical I/O and DDS (Fast-DDS) state synchronization, and perform root-cause analysis of distributed system issues using logs and runtime behavior.
  • Develop and troubleshoot frontend features and bug fixes using Angular 18, TypeScript and RxJS, including components, services and integration with REST APIs.
  • Work with ONVIF (Profiles S/T/M), RTSP, SOAP, DDS, gRPC and SSE for camera integration, video streaming, events and interoperability with external Video Management System (VMS).
  • Contribute to networking, deployment and CI/CD topics involving DHCP, static IP, IPv6, DNS, Nginx, MediaMTX, Snapcraft, Azure DevOps and JFrog Artifactory.

Software Engineering Intern at SEA:ME Program (2024-11 – 2025-09)

  • Developed an autonomous driving system on NVIDIA Jetson Nano using C++, Python, OpenCV, YOLO and TensorRT.
  • Optimized AI inference for constrained edge hardware by converting PyTorch models to ONNX/TensorRT and implementing performance-critical components in C++.
  • Integrated cameras, actuators and microcontrollers using GStreamer, I²C, Arduino and CAN, implementing real-time vehicle control and emergency collision avoidance.
  • Applied Agile/Scrum practices using GitHub Projects to organize tasks, track progress and coordinate collaborative development.

Formação

Specialization in Application Development Program – 42 PORTO SCHOOL (2025-03)

Common Core in Software Development – 42 PORTO SCHOOL (2022-11 – 2025-03)

Competências

Software EngineerFull StackEmbedded & Edge Systems

Avaliações

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