Nicolas Modrzyk

Consultant at Karabiner Software

Chiyoda, Japan
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Summary

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Senior
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Top School
Nicolas Modrzyk is a seasoned technology executive and consultant with 17 years of experience designing cloud-native architectures, scaling engineering organizations, and delivering mission-critical systems across Asia, Europe, and the US. He has led global teams of up to 300 engineers, driven multi-million-dollar AWS migrations supporting high-throughput financial platforms, and introduced AI/ML and blockchain solutions into production. As CTO and founder-level operator, he blends hands-on engineering (Go, Java, Python, Clojure) with strategic C-suite engagement and pre-sales for complex FinTech and big-data programs. An active open-source contributor, he improved robustness in Apache MXNet’s Clojure bindings by adding specs, tests, and integration checks—evidence of his attention to correctness in ML tooling. Multilingual and Japan-based, he uniquely combines cross-cultural leadership with deep expertise in LLM fine-tuning, Kubernetes/Terraform infrastructure, and enterprise-grade smart contract work.
code17 years of coding experience
job9 years of employment as a software developer
bookMaster, Master at ESIAL
bookGabriel Faure High School
bookMaster, Master at Dublin City University
languagesenglish (master's degree level), french (mother tongue), japanese (jplt1), Chinese
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14,109reputation
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250answers
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groovy
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clojure
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Github Skills (29)

unit-testing10
fonts10
clojure-cli10
testing10
css10
mxnet10
clojure10
html10
integration-testing10
java9
jquery9
grails9
groovy9
pdf9
pdfbox9

Programming languages (13)

JavaC++RustGoHTMLJupyter NotebookHCLShell

Github contributions (5)

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apache/mxnet

Dec 2018 - Jan 2019

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Role in this project:
userBack-end Developer & QA Engineer
Contributions:5 commits, 3 PRs, 17 comments in 1 month
Contributions summary:Nicolas contributed to the Apache MXNet Clojure package by adding specification validations to optimizer and random namespaces, and also implemented validations in test files. The user's work focused on ensuring the correctness and robustness of the library's Clojure interface, specifically related to optimizers and random number generation. Their contributions included adding specs and unit tests, ensuring that the project is well tested. Furthermore, they focused on turning examples into integration tests, improving the testing coverage.
dataflowdeep-learninggojavascriptjulia
hellonico/origami

Nov 2017 - Aug 2021

Lowest barrier of entry to Image Processing, Computer Vision and Neural Networks on the JavaVM
Contributions:299 commits, 2 PRs, 471 pushes in 3 years 9 months
computer-visionimage-processingneural-networkclojurekotlin
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