Krystian Safjan
AI ML Implementation Manager, Assistant Director
Wrocław, Lower Silesian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolKrystian Safjan is an AI/ML implementation manager and assistant director with 11 years of experience building production-ready intelligent systems, currently leading document intelligence and RAG-based AI assistant initiatives at EY from Wrocław, Poland. He combines deep telecom and research roots—years at Nokia and Nokia Bell Labs working on mm-wave reliability and 5G architecture—with hands-on ML engineering, deploying NLP, computer vision, and LLMs in Azure and Databricks-driven MLOps pipelines. Krystian designs explainable and fairness-aware solutions, integrates third-party cloud services, and leverages LangChain and OpenAI to solve multi-step document understanding problems. His background spans system architecture, DevOps, and end-to-end web app development, giving him a rare ability to translate research ideas into scalable, auditable production services. Collected experience in ray-tracing, RNN/LSTM models, and practical deployment patterns informs his pragmatic approach to complex, real-world business challenges. He pairs academic breadth (telecommunications and sociology) with entrepreneurial grit from building ML-enabled web apps and automated testing and deployment workflows.
11 years of coding experience
15 years of employment as a software developer
Mcs, Sociology, Mcs, Sociology at Uniwersytet WrocławskiMsc., Telecommunication, Msc., Telecommunication at Politechnika Wrocławska
English, German
Github Skills (200)
python10
family-tree10
sonnet10
chatgpt10
genealogy10
cli10
gnome10
controlled10
evaluation10
plugin10
command-line10
codegen9
photography9
gemini9
trading9
Programming languages (12)
Github contributions (5)
izikeros/count_tokens
Jun 2023 - Jan 2025
Count tokens in a text file.
Contributions:1 release, 9 PRs, 14 pushes in 1 year 6 months
tiktokentoken-counttokenizationtokenizertokenizer-nlp
izikeros/bio_segmentation_keras
Aug 2019 - Jun 2022
Biomedical image segmentation using Keras
Contributions:10 commits, 4 pushes, 1 branch in 2 years 10 months
deep-learningimage-segmentationtensorflowkerasbiomedical
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