Sebastián Montaño
Founder at FastAPI Cloud
Berlin, Germany
Summary
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Top expert inPython Development Ecosystem
Sebastián Montaño (Sebastián Ramírez, aka tiangolo) is a founder and senior engineering leader with 12+ years building high-performance APIs, ML tooling, and cloud-native deployments, best known as the creator of FastAPI, Typer, SQLModel and other widely used open-source projects. Based in Berlin, he combines hands-on backend, DevOps and MLOps expertise—shipping production-ready Docker images, CI/CD automation, and developer-friendly frameworks that prioritize DX and performance. He has held senior roles at Forethought and Explosion AI, led platform and data initiatives across startups and government projects, and now runs FastAPI Cloud to simplify deploying FastAPI apps. An active contributor to major Python ecosystems (Starlette, Pydantic, SQLAlchemy, Ray, JupyterLab and more), he often improves both code and docs, boosting developer experience and adoption. Largely self-taught via intensive online study and courses from Stanford, MIT and others, he pairs pragmatic engineering with deep knowledge of ML, async systems, and distributed architectures. Rarely obvious from headlines: he also routinely elevates projects through meticulous technical writing and CI/automation work that makes libraries easier to use and maintain.
12 years of coding experience
9 years of employment as a software developer
CS188.1x Artificial Intelligence - edX Artificial Intelligence, CS188.1x Artificial Intelligence - edX Artificial Intelligence at University of California, BerkeleyDeep Learning Specialization Computer Science, Deep Learning Specialization Computer Science at CourseraDeep Learning Nanodegree Foundation Computer Science, Deep Learning Nanodegree Foundation Computer Science at UdacityAUTONAVx Autonomous Navigaton for Flying Robots - edX Artificial Intelligence, AUTONAVx Autonomous Navigaton for Flying Robots - edX Artificial Intelligence at Technical University of Munich6.00x Introduction to Computer Science and Programming - edX Computer Science, 6.00x Introduction to Computer Science and Programming - edX Computer Science at Massachusetts Institute of TechnologyIntro to Hadoop and MapReduce - Udacity Computer Science, Intro to Hadoop and MapReduce - Udacity Computer Science at ClouderaLFS101x Introduction to Linux - edX Information Technology, LFS101x Introduction to Linux - edX Information Technology at Linux FoundationMachine Learning - Coursera Artificial Intelligence, Machine Learning - Coursera Artificial Intelligence at Stanford University
Spanish, Portuguese, English
Stackoverflow
1,566reputation
210kreached
23answers
7questions
fastapi
top-5%
youtube
top-5%
Github Skills (142)
atom-editor10
url-routing10
transaction10
fastapi10
restructuredtext10
postgresql10
uwsgi10
python10
json-schema10
testing10
http10
bash10
triple10
websocket10
triplet10
Programming languages (22)
Github contributions (5)
fastapi/fastapi
Dec 2018 - Jan 2023
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Role in this project:
Back-end Developer
Back-end DeveloperContributions:201 releases, 202 reviews, 1242 commits in 4 years 2 months
Contributions summary:Sebastián primarily focused on refactoring and updating existing code within the FastAPI framework. The commits show changes to core functionality like routing, OpenAPI generation, and dependency management, suggesting a focus on improving the API's underlying structure and performance. Furthermore, the contributions included updates to parameter handling, including their representation in the OpenAPI schema, indicating a focus on the API's usability and developer experience. The user also made contributions related to handling validation and the correct generation of API schemas.
redocpythonstarlettepython-typesasync
tiangolo/pydantic-sqlalchemy
May 2020 - Nov 2022
Tools to convert SQLAlchemy models to Pydantic models
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:8 releases, 42 commits, 74 PRs in 2 years 6 months
Contributions summary:Sebastián primarily contributed to the development and improvement of the `pydantic-sqlalchemy` library, adding key features like a Pydantic model generator from SQLAlchemy models and support for excluding columns. They also focused on establishing a CI/CD pipeline using GitHub Actions, including setting up test coverage reporting and automating the build process. Additionally, the user addressed bugs, such as fixing the OrmConfig issue, and enhanced the library with support for SQLAlchemy extended types.
pythonsqlalchemy-modelssqlalchemypydanticfastapi
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