Alon Eirew
Chief Technology Officer (AI) at MCE Systems
Petah Tikva, Center District, Israel
Summary
👤
Senior🎓
Top SchoolAlon Eirew is a Chief Technology Officer (AI) and applied NLP researcher with over 15 years in industry and a proven record of turning state-of-the-art research into production-grade AI systems. He has led multidisciplinary teams at Intel and startups, secured research funding, published multiple top-tier NLP papers, and contributed to well-regarded open-source work such as IntelLabs/nlp-architect on cross-document coreference. Comfortable across the full AI stack, Alon blends hands-on model development, architecture and infrastructure design with mentoring and startup advisory experience. He teaches computer science courses while pursuing a PhD, underscoring a strong commitment to both education and cutting-edge research. Colleagues know him for aligning research initiatives to business KPIs and accelerating AI adoption across products and organizations.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BSc) Computer Science, Bachelor of Science (BSc) Computer Science at Netanya Academic CollegePhD Candidate | Combined Track Computer Science, PhD Candidate | Combined Track Computer Science at Bar-Ilan University
Hebrew, English
Stackoverflow
197reputation
13kreached
11answers
3questions
Github Skills (19)
python10
machine-learning10
deep-learning10
natural-language-processing10
nlp10
pytorch9
tensorflow9
bert8
transformers8
quantization6
gitbash6
oracle6
android-studio6
android6
jackson6
Programming languages (4)
Github contributions (5)
IntelLabs/nlp-architect
Nov 2018 - Feb 2019
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:19 commits, 2 comments in 3 months
Contributions summary:Alon contributed to the development of cross-document coreference resolution models, adding a new cross-document and mention identification model. They made modifications to the core code, including updating the Wikipedia module and Elmo embedding feature. Their work involved modifications to the cross-document coreference settings, and configuration files.
deep-learningnatural-language-processingneural-networknlpnlu
AlonEirew/wd-plus-srl-extraction
Nov 2018 - Sep 2021
Methods for extracting Within-Document(WD) and Semantic-Role-Labeling(SRL) information from already tokenized corpus
Contributions:25 commits, 2 PRs, 17 pushes in 2 years 10 months
nlpsemantic-role-labelingcorpuslatent-dirichlet-allocationlabeling
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