Sadra Yahyapour
Technical Writer
Iran
Summary
🤩
Rockstar🎓
Top SchoolSadra Yahyapour is a Python-focused software developer and technical writer with eight years of experience building SaaS and ML integrations, and a strong track record in open-source contributions. He has contributed back-end work to MindsDB’s AI query engine, notably implementing and evolving PyPI statistics integrations by moving from a third-party package to a custom API approach. As a GitHub Campus Expert and former technical writer for Turing, he bridges developer advocacy, documentation, and production engineering. His background in computer software engineering (top grades) and hands-on roles—from startups to open-source platforms—gives him both practical delivery skills and an eye for developer experience. Based in Iran, he combines ML curiosity with pragmatic backend engineering, often turning data integration challenges into queryable, production-ready features.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Software Engineering, 4.0/4, Bachelor's degree, Computer Software Engineering, 4.0/4 at Shamsipour Technical and Vocational CollegeAssociate's degree, Computer Software Engineering, Associate's degree, Computer Software Engineering at Enghelāb-e Eslāmi Technical College (EITTC)
Persian, English
Stackoverflow
337reputation
14kreached
4answers
18questions
Github Skills (15)
pandas10
api10
python10
apidoc10
sql9
databases8
database8
ai8
configurations6
code-snippets6
syntax-highlighting6
cookiecutter6
configuration-file6
backend6
authorization6
Programming languages (13)
Github contributions (5)
mindsdb/mindsdb
Mar 2023 - Mar 2024
AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 reviews, 3 PRs, 24 comments in 11 months
Contributions summary:Sadra focused on implementing and integrating various PyPI statistics functionalities within the MindsDB platform. Their primary contribution involved creating multiple tables and associated logic to query PyPI data, leveraging the `pypistats` package initially. They subsequently transitioned to a custom API interface, dropping the `pypistats` package in favor of a direct approach. The work involved modifications to handler and table definitions to interface with a custom PyPI API and provide data via MindsDB's query engine.
localaimachine-learning-databasesolacesinglestoreexplainable-ml
dbmqproject/dbmq
Aug 2020 - Feb 2021
Docker-based Message Queuing
Contributions:3 releases, 233 commits, 4 PRs in 6 months
messagequeuingdocker
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