Michele Zanchi
Full Stack Data Scientist
Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolMichele Zanchi is a Full Stack Data Scientist with a decade of hands-on experience building and operating on-premises industrial AI and big data platforms. At Tenaris he has moved from research intern to leading development, deployment and maintenance of production ML models, data ingestion pipelines and Kubernetes/Cloudera-based infrastructure. He designs custom Airflow operators, large-scale statistical analyses and computer vision systems that translate into actionable decisions for manufacturing quality control. Comfortable across the stack, Michele blends TensorFlow modeling, Spark/Hadoop analytics and web service design with cluster administration and CDP tooling. His background includes international study at NTNU and a master's thesis that launched a robustness-focused CNN testing framework now productionized. Colleagues value him for curiosity-driven problem solving and the ability to close the loop from research to resilient, production-grade solutions.
10 years of coding experience
7 years of employment as a software developer
Laurea Magistrale LM Ingegneria informatica, Laurea Magistrale LM Ingegneria informatica at Università degli Studi di BergamoDiploma Informatica, Diploma Informatica at ITIS Pietro PaleocapaNorwegian University of Science and Technology
English, Italian
Github Skills (28)
apache-airflow10
data-pipelines10
monitor10
python10
data-science10
data-engineering10
machine-learning10
workflow-engine10
apache10
scheduler10
etl10
automation10
dag10
mlops10
airflow10
Programming languages (3)
Github contributions (5)
ciancolo/airflow
Jan 2021 - Apr 2024
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Contributions:50 pushes, 11 branches in 3 years 2 months
monitorapacheprogrammaticallyapache-airflowairflow
MicheleUnibg/TesiAndroid
Mar 2016 - Mar 2016
Contributions:4 pushes, 1 branch in 1 day
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