Summary
Augustus Tabarcea is a data engineer with 9 years of experience who blends practical data infrastructure work with a strong curiosity for machine learning, deep learning, robotics, and distributed systems. Currently at Tremend, he designs and maintains data pipelines that power ML-driven applications, drawing on prior roles as a data scientist and R&D engineer where he built microservices, cloud orchestration, and distributed-network algorithms. His background includes hands-on projects like a Raspberry/Arduino self-driving car and compact ML/DL prototypes, reflecting a maker mentality that bridges research and production. Trained in computational optimization at Alexandru Ioan Cuza University, he brings both theoretical rigor and pragmatic engineering to complex, data-intensive problems.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Computational Optimization, Master's degree, Computational Optimization at Universitatea „Alexandru Ioan Cuza” din Iași
Baccalaureate, Mathematics and Computer Science, Baccalaureate, Mathematics and Computer Science at Colegiul National Iasi
Mathematics and Computer Science, Mathematics and Computer Science at Liceul Teoretic de Informatică „Grigore Moisil” Iaşi
English, Romanian, French