Spike Technologies
Augustas Macijauskas is a skilled Machine Learning Engineer currently employed at Spike Technologies since January 2024. Prior experience includes roles as a Machine Learning Researcher at BPTI, where Augustas focused on moving object detection and tracking, and as a Machine Learning Research Assistant, undertaking projects such as developing a transformers-based model for noise segmentation and predicting cyber attacks. Internships at Genus AI, backpaqr, and a comprehensive software development academy have enriched Augustas's expertise in machine learning, data analysis, and software development. Augustas holds an MPhil in Machine Learning and Machine Intelligence from the University of Cambridge, alongside a BSc in Mathematics from The University of Manchester.
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Spike Technologies
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Spike is an API for loT devices and wearables that collect fitness and health data designed for digital health app developers. They access wearables data in both raw and structured/normalized format while they maintain provider API upgrades, monitor sensor releases, and API version control. Their technology, REST API end-points, and cloudarchitecture are designed with data privacy and security at heart.