Summary
Iulia-Alexandra Lungu is a machine learning engineer in Zurich with 11 years of experience building embedded deep learning systems and bio-inspired algorithms that bridge neuroscience and practical AI. She has co-founded and shipped embedded AI products, led development of custom quantization frameworks and digital hardware emulators, and now applies that expertise at kaiko.ai. Her background spans academic research in neuromorphic and spiking neural networks to hands-on work converting models for low-power chips, reflecting a rare mix of computational neuroscience and production ML. She’s motivated by projects that measurably improve quality of life, particularly in healthcare and edge applications, and thrives in collaborative, agile teams. An understated strength is translating cutting-edge research into deployable systems—she left a PhD program to commercialize lab innovations, demonstrating product focus and execution.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BSc), Bioinformatics (Mathématiques et informatique du vivant), Bachelor of Science (BSc), Bioinformatics (Mathématiques et informatique du vivant) at Université Claude Bernard Lyon 1
Bernstein Center for Computational Neuroscience - Master of Science (MSc), Computational Neuroscience, Bernstein Center for Computational Neuroscience - Master of Science (MSc), Computational Neuroscience at Technische Universität Berlin
English, French, Romanian, Spanish, German