Corneliu Cofaru
AI Research VUB AI Lab at Vrije Universiteit Brussel
Brussels, Brussels-Capital, Belgium
Summary
👤
Senior🎓
Top SchoolCorneliu Cofaru is an AI researcher and engineer with eight years of experience building applied ML systems for industry, currently contributing to AutoML, ML for cybersecurity, and explainable/traceable AI at VUB AI Lab. He combines a strong research background (PhD-level computer vision) with hands-on engineering in Python, Julia and Docker, and publishes open-source Julia libraries and consultancy code on GitHub (OxoaResearch / zgornel). Past roles include leading data science and production-ready ML infrastructure work that emphasized modularity, reproducibility and fast prototyping across fintech and analytics domains. Corneliu’s profile blends deep algorithmic expertise (optical flow, fraud detection) with practical system design—often bridging research prototypes and deployable software. Based in Brussels, he favors open-source toolchains and knowledge-graph driven solutions, bringing both academic rigor and production sensibility to industrial research projects.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Universiteit GentVisiting student, Computer Engineering, Visiting student, Computer Engineering at Università degli Studi di CagliariMaster of Science (MSc), Computer Systems Networking and Telecommunications, first in promotion, Master of Science (MSc), Computer Systems Networking and Telecommunications, first in promotion at Universitatea Transilvania din Brașov
Romanian, English, Italian, French, Dutch
Github Skills (112)
text-processing10
memoize10
latent-semantic-analysis10
meta-tags10
mechanism10
science10
julia10
text-analysis10
union9
bengali9
topic-modeling9
programming-language9
metadata9
glove9
hashtable9
Programming languages (3)
Github contributions (5)
zgornel/QuantizedArrays.jl
Jun 2019 - Jun 2021
Array quantization and compression
Contributions:1 release, 44 commits, 1 PR in 2 years
arraycompressionquantization
zgornel/Garamond.jl
Dec 2017 - Aug 2020
A small, flexible neural and data search engine, written in Julia. Batteries not included.
Contributions:747 commits, 8 PRs, 61 pushes in 2 years 8 months
batteriesmachine-learningdata-searchsearch-enginejulia
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