Summary
Imola Fodor is an AI Engineer at Electrolux with 11 years of software and embedded-systems experience, specializing in TinyML and deploying compressed ML models on resource-constrained appliances. She leads end-to-end AI pipelines and MLOps for edge devices, turning research-driven PoCs into production-ready intelligent home features. Her background spans Java/Spring development and data analysis, giving her strong full-stack engineering rigor alongside embedded optimization skills. Currently pursuing a master's in Data Science and Scientific Computing, she blends formal academic training with practical industry delivery. Multilingual (Serbian, Hungarian, English, Italian), she mentors interns and thesis students, cultivating embedded-AI talent. Notably, she focuses on code and model compression techniques that squeeze production-grade intelligence into tight hardware and power budgets.
11 years of coding experience
2 years of employment as a software developer
Bachelor with Honours in Electrical and Computer Engineering (B.Elec.Comp.Eng.), Computer Engineering, Bachelor with Honours in Electrical and Computer Engineering (B.Elec.Comp.Eng.), Computer Engineering at Faculty of Technical Sciences, University of Novi Sad
Master's degree, Data Science and Scientific Computing, Master's degree, Data Science and Scientific Computing at Università degli Studi di Trieste
English, Hungarian, Serbian, German, Italian