Summary
Joram Liebeskind is a research-oriented software engineer and PhD student with 11 years of practical and academic experience spanning automation, machine learning, and embedded systems. He moved from an apprenticeship as an automation technician to computer science degrees at ZHAW and ETH Zürich, building a strong foundation in theoretical CS, optimization, and statistical learning. His work blends experimentation and engineering: a master's thesis probing multimodal VAEs and an internship at Scewo that produced a near-shippable TensorFlow-to-C++ edge-TPU inference pipeline. At Belimo he translated ML research into HVAC applications, demonstrating an ability to ship robust learning systems in industry-constrained environments. Now pursuing doctoral research at ZHAW, he continues to bridge theory and practice, favoring minimal-intervention experimental designs that surface actionable insights. Colleagues describe him as curious and methodical, equally comfortable formalizing hypotheses and delivering production-ready prototypes.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at ZHAW Zurich University of Applied Sciences
Master's degree, Computer Science, Master's degree, Computer Science at ETH Zürich