Alexandre Mendonca
Software Engineer AI ML at Motive
Vancouver, British Columbia, Canada
Summary
🤩
Rockstar🎓
Top SchoolAlexandre Mendonca is a software engineer specializing in ML infrastructure with six years of experience building scalable, cost-efficient systems from Vancouver, Canada. He has driven dramatic improvements in production ML workflows—shipping an inference service that cut latency by 96% and costs by 90%, and redesigning training infrastructure to save ~60% through caching, checkpoints, and spot instances. Prior to his AI/ML focus he spent years at AWS improving large-scale services (Alexa SDK, Marketplace) where his optimizations reduced voice latency by up to 50% and enabled data feeds delivered 24x more frequently. His background spans high-performance simulation and embedded systems—performance tuning math libraries and leveraging hardware accelerators—bringing a systems-level lens to cloud-native ML problems. Comfortable across cloud platforms, distributed systems, and device SDKs, he pairs pragmatic engineering with measurable business impact. Colleagues would note his knack for converting research-grade techniques into production-ready, cost-conscious solutions.
5 years of coding experience
15 years of employment as a software developer
Msc., Computer Science - Embedded Systems, Msc., Computer Science - Embedded Systems at Universidade Federal de Santa Catarina
English, Spanish, Portuguese
Github Skills (7)
commercial10
makers10
device-management10
alexa-voice-service10
connected10
sdk10
integrate10
Programming languages (1)
Github contributions (1)
alexa/avs-device-sdk
Jun 2020 - Jun 2020
An SDK for commercial device makers to integrate Alexa directly into connected products.
Contributions:1 release, 2 commits, 2 pushes in 1 day
connected-productsmakersdevice-managementsdkconnected
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