Summary
Vinicius Peixoto is a Machine Learning Engineer with a decade of technical experience bridging software development, electronics, and calibration across multinational environments. He holds a Computer Engineering degree from UFSCar and began his career calibrating precision instruments to ISO/IEC standards, which gives him atypical depth in hardware-software integration and diagnostic rigor. Comfortable in C, C++, Python and Kotlin, he has shipped backend features and tooling at companies like Loggi and Alana AI, improved legacy systems, and built testing infrastructure for AI services. At Motorola he transformed a desktop modem-log analysis tool into a web solution while cutting memory use tenfold, demonstrating both pragmatic optimization and product-focused engineering. Now based in São Carlos, he brings a hands-on, systems-minded approach to ML engineering that blends low-level performance tuning with domain-driven backend design.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering Computer Engineering, Bachelor of Engineering Computer Engineering at Universidade Federal de São Carlos - UFSCar Oficial
Technician Electrical & Electronics, Technician Electrical & Electronics at COTUCA - Technical School of Campinas
Programa Data4All Python Dados, Programa Data4All Python Dados at Ada Tech
English, Portuguese, Chinese