Krisztian Szucs
Process Technician at Ball Corporation
Szeged, Hungary
Summary
🤩
Rockstar🎓
Top SchoolKrisztian Szucs is a process-focused food engineer with 12 years of experience developing meat and cheese analogues, gluten-free pastas and a range of plant-based products for international markets. He has led product development from formulation to commercial launch, continuously creating new flavors and spice blends while gaining hands-on familiarity with extrusion and packaging processes. Currently a Process Technician at Ball Corporation, he combines practical production expertise with a Master’s in Food Safety and Quality Engineering from the University of Szeged. Krisztian’s background blends R&D creativity with production optimization, ensuring scalable, shelf-stable products. Unusually for a food technologist, he also contributes to open-source backend and automation projects, bringing a systems-oriented approach to CI/CD and build processes. That cross-disciplinary experience helps him translate lab innovations into robust, manufacturable products.
12 years of coding experience
5 years of employment as a software developer
Master's degree, Food Safety and Quality Engineering, Master's degree, Food Safety and Quality Engineering at University of Szeged
Stackoverflow
130reputation
14kreached
3answers
0questions
Github Skills (35)
sanic10
github-ci10
docker10
python10
k-means-clustering10
scikit10
packaging10
machine-learning10
pyspark10
dockers10
cicd10
asyncio10
distributed-computing10
fusion10
release-management10
Programming languages (18)
Github contributions (5)
lensacom/sparkit-learn
Oct 2014 - Oct 2017
PySpark + Scikit-learn = Sparkit-learn
Role in this project:
Data Scientist
Data ScientistContributions:3 releases, 173 commits, 16 PRs in 3 years
Contributions summary:Krisztian's primary contribution involves the implementation and testing of various components within a PySpark and scikit-learn framework. Their work centers around building a distributed K-Means clustering and other machine learning models and demonstrating their functionality. The user demonstrated a good understanding of distributed computing principles by including implementations of data-parallel machine learning algorithms.
pythondata-scienceemrspark-mlmachine-learning
apache/datafusion
Aug 2021 - Nov 2021
Apache DataFusion SQL Query Engine
Role in this project:Back-end & Automation Engineer
Back-end & Automation EngineerContributions:20 reviews, 2 commits, 6 PRs in 2 months
Contributions summary:Krisztian primarily worked on improving the CI/CD pipeline and build automation for the Apache DataFusion SQL Query Engine project. They addressed build failures, implemented a restartable verification process, and refactored the workflow to streamline the build and deployment of artifacts. The user also incorporated various performance improvements for the build process and added support for features like a docker-compose environment and nightly build automation.
querypythonquery-enginedataframerust
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.