Alejandro Grabovetsky
Machine Learning Engineer at Apple
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolAlejandro Grabovetsky is a Machine Learning Engineer with 14 years of experience bridging academic neuroscience, startup product-building, and production ML at Apple from Zurich. He holds a PhD in Cognitive Neuroscience from Cambridge and translated high-field fMRI and MVPA expertise into founding AI health startups and leading data-centric product teams. As CTO of AID:Tech he architected blockchain-backed, Kubernetes-deployable solutions (including work on Hyperledger Fabric tooling), and later led ML product and engineering at Curious AI before joining Apple. Comfortable across data science, DevOps, and back-end engineering, he combines rigorous experimental thinking with pragmatic system design. Outside work he’s an award-winning science communicator and an international Tango DJ, reflecting a rare blend of technical depth and creative breadth.
14 years of coding experience
9 years of employment as a software developer
High School, English, French, Economics, Mathematics (HL), Biology (HL), Chemistry (HL), Physics (HL extra), 45/45 points (extra: 7/7), High School, English, French, Economics, Mathematics (HL), Biology (HL), Chemistry (HL), Physics (HL extra), 45/45 points (extra: 7/7) at International School HilversumBachelor of Arts (BA), Natural Sciences (Psychology), 1st class, Bachelor of Arts (BA), Natural Sciences (Psychology), 1st class at University of Cambridge
English, Spanish, Russian, Dutch, French, Italian, Ukrainian, German
Github Skills (200)
dataflow10
command-line-interface10
k8s10
neural-network10
data-science10
nodejs10
ansi10
deep-neural-networks10
tango10
notebook10
python10
matlab10
ml10
pipeline10
chalk10
Programming languages (15)
Github contributions (5)
aidtechnology/hgf-k8s-workshop
Dec 2018 - Feb 2019
Hyperledger Global Forum workshop
Contributions:26 commits, 10 PRs, 19 pushes in 2 months
hyperledgerworkshopforumblockchainhyperledger-fabric
aidtechnology/lf-k8s-hlf-webinar
Sep 2018 - Feb 2019
Contributions:18 commits, 16 pushes, 1 branch in 5 months
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