Gustavo Felipe is a Senior Machine Learning Engineer with nine years of experience building production-grade AI systems spanning computer vision, speech, and NLP, currently driving ML at Canva. He has led the design and deployment of high-throughput biometric and identity-verification pipelines that serve millions of users and reduced latency through edge-to-cloud model optimization. Gustavo combines hands-on expertise in TensorFlow, PyTorch, ONNX and TensorRT with cloud-native deployment (AWS, Docker, Ray) to deliver scalable, low-latency solutions and has shipped embedded ASR and keyword-spotting systems integrated into consumer devices. Academically active, he is pursuing a Ph.D. with research in pre-clinical enteric nervous system imaging, applying novel deep learning methods to biomedical datasets. He’s equally comfortable re-architecting legacy production services and mentoring teams on modern ML practices, and has a track record of launching multiple AI products that produced measurable business impact. Based in Vienna, he’s passionate about translating cutting-edge research into robust, real-world AI products.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Inteligência Artificial, Doctor of Philosophy - PhD Inteligência Artificial at Università degli Studi di Padova
Doutorado Ciência da Computação, Doutorado Ciência da Computação at Universidade Estadual de Maringá
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