Orestis Lampridis

Python Software Engineer at Channable

Randstad, Netherlands
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Summary

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Senior
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Top School
Orestis Lampridis is a Python Software Engineer with eight years of experience building full-stack web platforms, currently focused on backend work at Channable. He specializes in Python, Django/DRF, and Angular, and has strong expertise in PostgreSQL, Celery/RabbitMQ and orchestrating distributed data workflows with Prefect and Dask. Orestis has applied these skills to optimize complex bioinformatics pipelines and production deployments on OpenShift, paired with monitoring using Prometheus and Grafana. His background blends academic research—developing NILM methods and managing MQTT-based residential energy platforms—with industry-facing product work at Deus Ex Machina. He has two journal publications in ML and Computing and an honorable mention at DS2020, signaling both research rigor and practical impact. Based in the Randstad, he combines hands-on DevOps, data orchestration and a growing interest in explainable AI.
code8 years of coding experience
job5 years of employment as a software developer
bookMaster of Science - MS, Data and Web Science, Master of Science - MS, Data and Web Science at Aristotle University of Thessaloniki (AUTH)
bookErasmus+ exchange program, Computer Science, Erasmus+ exchange program, Computer Science at Università di Pisa
languagesEnglish, Italian, Greek
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Github Skills (17)

scrape10
twitter9
elasticsearch8
twint8
python8
kibana8
energy7
sentiment-classification5
algorithms5
forecasting3
forecast3
monitoring3
machine-learning2
database2
science2

Programming languages (3)

VueJupyter NotebookPython

Github contributions (5)

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lstate/X-SPELLS-V2

Mar 2021 - Sep 2021

Explaining Sentiment Classification with Diverse Synthetic Exemplars and Counter-Exemplars
Contributions:41 commits, 4 PRs, 28 pushes in 6 months
sentiment-classification
orestislampridis/MANIFEST

Oct 2020 - Jun 2021

Contributions:43 commits, 13 pushes in 7 months
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