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Hey! I'm @alexsavio (Alexandre M. Savio) 👋

I'm a computer scientist. I use Python lately, but I have long experience with Java and C++. 🐍☕

I currently live between the Basque Country (Spain) and Bavaria (Germany). 🌍🇪🇸🇩🇪

I like to design, build and automate things using:

  • machine learning,
  • distributed systems,
  • data warehouses,
  • containers,
  • micro-services, and
  • serverless.

I also enjoy developing modern backend APIs, chat bots, CI/CD pipelines, and use infrastructure as code for the public cloud providers. 🤖

I am currently helping a limited number of teams and organizations as an external consultant. At the same time I'm learning Rust 🦀 and building business ideas.

If you would like to have my help with your team and product, feel free to contact me. 🤓

A bit about me...

I hold a PhD in machine learning applied to brain image processing and disease detection.

During my research I have been using Matlab and Python, scikit-learn, and the Nipy tools to pre-process brain images for feature extraction and disease detection from magnetic resonance (MRI) and positron-emission tomography (PET) images. 🇪🇸🇬🇧🇵🇱🇩🇪

Then I left academia...

Since 2017 I have been involved in a wide variety of projects in small teams in different companies:

  • Ansible to provision remote clusters with Kafka and the ElasticSearch stack,
  • maintenance of a shared Java library for logging events through Kafka for the automotive industry,
  • C++ to automate a Universal Robot to use as a ground truth for motion sensors,
  • Python and Falcon to create an IoT end-user facing API for users, devices, and firmwares running on AWS,
  • Serverless Framework, Terraform and later AWS CDK to create AWS Step Functions to ingest data into Redshift and S3 for a data warehouse, and
  • Golang and OpenAPI to implement integration tests for an end-user facing API,
  • Python on Airflow to maintain a datalake in Elasticsearch with Points-Of-Interest data for a car navigation system,
  • Real-time asynchronous system in Python to send alerts to Slack (and other places) based on a statistical model running against big-data on Rockset for a fintech company.

I also have participated in the European Python community since 2014. I am a PSF Fellow and a EuroPython Fellow, I also have:

  • co-founded ACPySS to support the local Python community,
  • been part of the EuroPython Society board from 2015 to 2018,
  • been core organizer of the PySS conferences, EuroPython 2015 and 2016, and EuroScipy 2019,
  • helped in the organization of other conferences: EuroScipy, PyMunich, and PyConDE, and
  • spoken in scientific conferences and also a few Python conferences like PySS, PyData/PyCon Italy, PyConDE, and EuroPython.

A bit of my original open source work:

  • A useful tool that I created to generate badges for conferences which ended up being popular among some friends: docstamp and tito-docstamp.
  • hansel a tool to help with my research and other open source tools. 🚀

You can find me on:

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