Marek Koniew
Lead MLOps Engineer - Generative AI Focus
Silesian Voivodeship, Poland
Summary
🤩
Rockstar🎓
Top SchoolMarek Koniew is a Lead MLOps Engineer with 11 years of experience building production-grade Generative AI systems, specializing in RAG, LLMs, and conversational agents. He architects scalable AI infrastructure across GCP and Azure—leveraging Vertex AI, Databricks, Azure AI Search and OpenAI services—to deploy chatbots and autonomous support agents integrated with platforms like Microsoft Teams. Marek blends deep engineering (Python, Java, TensorFlow, Kubernetes) with data engineering and observability practices, having designed ML pipelines for incident detection, ASR and sentiment models, and large-scale knowledge stores. He has a strong background in system scalability and real-time monitoring from roles at co.brick, SAP Hybris and EDS, and is pursuing a PhD in Data Mining, reflecting ongoing research engagement. Notably, he pairs production pragmatism with research-grade techniques—published work in ASR—making him equally comfortable optimizing cloud infrastructure or tuning deep learning models for real-world usage.
11 years of coding experience
20 years of employment as a software developer
Data Mining PhD Candidate (in progress), Data Mining PhD Candidate (in progress) at The Silesian University of Technology
English, Polish
Stackoverflow
76reputation
2kreached
2answers
0questions
Github Skills (96)
grafana10
monitoring10
prometheus10
logging10
python9
machine-learning9
logstash8
youtube8
deep-learning8
controller8
tensorflow8
neural-network7
gmail7
raspbian7
cli7
Programming languages (8)
Github contributions (5)
marekasf/vertex-hystrix
Oct 2014 - Apr 2016
Contributions:2 commits, 1 PR, 1 push in 1 year 6 months
stream-supportvert-xstreamvert
co-brick/loki
Jul 2021 - Jul 2021
Like Prometheus, but for logs.
Contributions:6 reviews, 9 pushes, 2 branches in 3 days
loggingprometheusmetricsmonitoringlogs
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