Alejandro Saucedo
Visiting Lecturer at Zalando
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolAlejandro Saucedo is an AI and technology executive with 13 years of experience building and scaling engineering, science, product and analytics organisations for high-growth and enterprise environments. He currently leads Zalando’s horizontal AI, Data & Platform organisation powering supply and demand for a €15b+ business with 50m+ active customers, and serves as an AI Expert to the United Nations and the European Commission. Alejandro combines hands-on MLOps and systems engineering—contributions to projects like Kompute, Seldon Core and MLServer—with strategic policy work, having shaped EU frameworks including the AI Act, Data Act and Digital Services Act. As an ACM Board member and Scientific Advisor at the Institute for Ethical AI, he bridges technical delivery, open-source stewardship and ethical governance at scale. He has a track record of shipping production-ready ML infrastructure (adaptive batching, multi-input codecs, Hugging Face integrations) and of translating research-grade techniques into large commercial systems. Based in Berlin, he is equally at home in low-level GPU compute work and high-level international tech policy.
13 years of coding experience
12 years of employment as a software developer
Various AI / ML Courses, Various AI / ML Courses at University of OxfordBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Southampton
English, Spanish, Chinese, Russian, Portuguese
Stackoverflow
341reputation
15kreached
3answers
6questions
Github Skills (31)
markdown10
vulkan10
c-language10
python10
data-science10
scikit10
machine-learning10
build-system10
cmake10
huggingface-transformers10
mlops10
markdown-it10
read-me10
scikit-learn10
nlp10
Programming languages (29)
Github contributions (5)
KomputeProject/kompute
Jul 2020 - Dec 2022
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:16 releases, 187 reviews, 1059 commits in 2 years 4 months
Contributions summary:Alejandro made changes to the source code focusing on the `src/main.cpp` file, likely implementing core features related to Vulkan compute, given the nature of the repository. These commits involve modifications to the build process and application creation and debug layer functionality. The user updated includes and integrated spdlog to log. The user also updated the pipeline for building the code.
amdvendorpythonvulkanbacked
SeldonIO/seldon-core
May 2019 - Nov 2022
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Role in this project:ML Engineer & Data Scientist
ML Engineer & Data ScientistContributions:18 releases, 208 reviews, 1256 commits in 3 years 6 months
Contributions summary:Alejandro appears to have been primarily involved in developing and integrating machine learning models within the Seldon Core framework. Their contributions focused on implementing and integrating models, with a particular focus on the scikit-learn library for a text classification task using a SpaCy based pipeline. They created various model configurations including model parameters and used the Knative Eventing API to facilitate the model serving pipeline. They have also contributed by setting up pipelines for running models in various components.
monitorservingdata-sciencedeploymentmachine-learning
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