Arkadiusz Kondas
Engineering Manager at Lendable
Bielsko-Biała Metropolitan Area Poland
Summary
🤩
Rockstar🎓
Top SchoolArkadiusz Kondas is an engineering manager and hands-on tech lead with 11 years of experience building backend systems, architecting event-driven designs, and leading high-performing teams from Poland. He blends practical leadership at Lendable with deep machine learning expertise—authoring and contributing core algorithms and TF-IDF feature tools to the PHP-ML library and maintaining real-world ML examples like MNIST and language detection. A proponent of DDD, Event Storming and CQRS/Event Sourcing, he regularly runs workshops and conference talks that translate complex architecture patterns into actionable team practices. His background spans CI/CD, deploying ML pipelines, and pragmatic DevOps, enabling him to balance feature delivery with technical debt and team growth. Outside of work he channels discipline and curiosity into ultrarunning and homebrewing, reflecting a taste for long-term endurance projects and careful experimentation.
11 years of coding experience
11 years of employment as a software developer
Inżynier (Inż.), systemy informatyczne, Inżynier (Inż.), systemy informatyczne at Wyższa Szkoła informatyki i zarządzania w Bielsku Białej
Polish, English
Stackoverflow
454reputation
74kreached
6answers
3questions
Github Skills (28)
algorithm10
algorithms10
data-science10
classification10
k-means-clustering10
statistics10
machine-learning10
text-classification10
statistic10
data-structure10
regression10
php10
data-structures10
linear-algebra10
feature-extraction9
Programming languages (12)
Github contributions (5)
jorgecasas/php-ml
Feb 2016 - Jun 2019
PHP Machine Learning library
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:308 commits in 3 years 5 months
Contributions summary:Arkadiusz primarily contributed to the development of a machine learning library in PHP, implementing core components such as the Naive Bayes classifier, the k-Nearest Neighbors classifier, and regression with LeastSquares. The user integrated multiple distance metrics, including Euclidean, Chebyshev, Manhattan, and Minkowski, showcasing a good understanding of algorithm implementation. The user also implemented several feature extraction tools, most notably the TfIdfTransformer, and built datasets for use within the library, with a focus on model training and testing.
machine-learningphp
akondas/symfony-consul-bundle
Mar 2020 - Oct 2022
Auto register Symfony app with Consul
Contributions:3 releases, 2 reviews, 14 commits in 2 years 7 months
consulsymfonysymfony-bundlephp
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.