Diego Kieckbusch
Data Scientist
Federal District, Brazil
Summary
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Senior🎓
Top SchoolDiego Kieckbusch is a Data Scientist with 10 years of experience building end-to-end data products that translate NLP and ML research into operational systems for labor market research, education, health, and investment domains. He designs and deploys production pipelines and models—ranging from text classification and information extraction to recommendation systems—using Python, Spark, Databricks and Azure, and has deep hands-on experience with HuggingFace transformers and ML lifecycle tools like MLflow and Azure ML. At CNI he led the architecture and modeling for a nation-scale Job Offering Monitor that extracts skills and requirements from postings to inform professional education initiatives. His academic background (MSc and ongoing PhD work) in AI and short-text processing underpins applied research on fraud detection and reinforcement-learning approaches to complex optimization problems. Interested in LLMs and federated learning, he blends research rigor with product-focused engineering to move models from prototypes into scalable, domain-aligned services.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universidade de Brasília
Portuguese, English, German, SpanishGithub contributions (5)
diegokieck/mestrado
May 2022 - Dec 2022
Contributions:27 pushes, 1 branch in 7 months
diegokieck/CJRTrainee
Apr 2017 - Jun 2017
Contributions:7 pushes, 1 branch in 1 month
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