Cássio Antoniazzi is a software engineer with 11 years of experience who transitioned from electronic engineering into backend and distributed systems work, currently building products at Will Bank in Florianópolis. He has held senior and staff engineering roles across Brazilian tech companies including Memed, Zé Delivery, OLX Brasil and Grupo ZAP, bringing deep Python and cloud experience along with past C#/.NET and embedded systems roots. His education spans computer engineering and industrial automation to postgraduate studies in distributed architecture and an MBA in Data Science, reflecting a blend of hardware-minded rigor and data-driven software design. Known for navigating mergers and fast-moving product teams, he combines hands-on coding with architectural influence and a pragmatic focus on reliability at scale. A subtle throughline in his career is comfort “out of place” across domains—embedded electronics to fintech—enabling him to bridge discipline boundaries and solve uncommon integration challenges.
11 years of coding experience
11 years of employment as a software developer
Master of Business Administration - MBA Data Science and Analytics, Master of Business Administration - MBA Data Science and Analytics at USP - Universidade de São Paulo
Associate's degree Internet Systems, Associate's degree Internet Systems at IFRS - Campus Porto Alegre
Bachelor of Computer Engineering Embedded Electronic System & Microelectronics, Bachelor of Computer Engineering Embedded Electronic System & Microelectronics at Universidade La Salle
Technichal Industrial Electronics Microelectronics, Technichal Industrial Electronics Microelectronics at Escola Técnica Estadual Parobé
Pos Technical Industrial Automation and Process Control Oil & Gas, Pos Technical Industrial Automation and Process Control Oil & Gas at Fundação Escola Técnica Liberato Salzano Vieira da Cunha
Turdus is an interface to consume Twitter data based on specific searches and consolidating this data in file format for the user.
Contributions:7 PRs, 7 pushes, 7 branches in 3 months
searchesfile-formattwitter-dataconsumetwitter
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