Open to opportunities

Luis felipe Messias

@luisfelipemessias

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I build embedded Linux and Edge AI software for GPUs, IoT devices, robotics, and large-scale platforms.

Brazil

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What I'm looking for

I'm looking to build embedded, Edge AI, GPU, IoT, or robotics software where I can work across hardware and software, solve complex validation and deployment problems, and collaborate internationally.

I'm building diagnostic and validation frameworks in C/C++ for GPU IPs at Qubika, investigating hardware-software interactions and testing functional integrity and performance.

At EPAM Systems, I developed embedded Linux software in C++17 for a large-scale streaming platform and redesigned its test suite, increasing coverage by 68%.

At Beegol, I integrated thousands of ARM devices across roughly 30 models into MQTT/HTTP, ETL, and web-service pipelines. I also designed and deployed a TR-069 data-collection API that expanded compatibility by 20% and contributed to 30% greater customer reach.

My work connects embedded systems, robotics, and deep learning. I'm pursuing a master's in Computer Science focused on collaborative drone perception, GPS-free localization, sensor fusion, factor graphs, and NVIDIA Jetson deployment.

Experience

Work history, roles, and key accomplishments

Current

Engenheiro de Software Embarcado Sênior

Current

Qubika

Oct 2025 - Present (11 months)

Desenvolve frameworks de diagnóstico e validação em C/C++ para IPs de GPU, investigando interações entre hardware e software e implementando testes de integridade funcional e desempenho.

C C++GPU Testes De Desempenho