Tomaz Suller is a multilingual software engineer with eight years of experience bridging embedded systems, data engineering, and machine learning across academia and industry. Currently a Member of Technical Staff at Sqwish and a double-degree MSc/BEng student at Politecnico di Milano and Universidade de São Paulo, he pairs hardware design skills (VHDL/Verilog) and embedded programming (C, Rust) with production data pipelines and ML stacks in Python. He has driven end-to-end data platforms and cost-saving on-premises data lakes, automated previously manual web-scraping processes saving hundreds of hours, and accelerated research workflows by 10× through Parquet and parallelization. In research roles he published on Neural Architecture Search and built reproducible Kedro pipelines, while in teaching he created a Rust-based assembler toolchain that sped up class tooling 1000× and introduced CI cross-compilation. Comfortable from low-level firmware to cloud-based analytics, he often blends practical engineering with research rigor and a knack for turning legacy processes into automated, testable systems.
8 years of coding experience
2 years of employment as a software developer
AI4Sustainability Summer School, AI4Sustainability Summer School at EIT Digital Master School
Bachelor of Engineering - BE Computer Engineering (Double Degree), Bachelor of Engineering - BE Computer Engineering (Double Degree) at Escola Politécnica da USP
Cargill Global Scholar, Cargill Global Scholar at Institute of International Education
High School Diploma, High School Diploma at Colégio Objetivo de Mogi das Cruzes
Master of Science - MS Computer Science and Engineering (Double Degree), Master of Science - MS Computer Science and Engineering (Double Degree) at Politecnico di Milano
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Tomaz Suller - Member Of Technical Staff at Sqwish