Sadeq Dousti

Germany, Iran
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
Sadeq Dousti is a technical lead and staff software engineer based in Germany with over 15 years of experience spanning research, teaching, architecture, and hands-on backend engineering. Currently leading technical efforts at Trade Republic after a senior engineering role at Zalando, he combines product-focused leadership with deep algorithmic and systems expertise. His academic background (PhD-level work and postdoc) informs a methodical approach to complex problems and a strong footing in numerical methods. An active open-source contributor, he optimized critical functions in the widely used SymPy library, delivering substantial performance gains that reflect his attention to correctness and efficiency. Comfortable moving between research and production, he has built and led teams in startups and enterprise settings, repeatedly translating theory into scalable, maintainable systems. Colleagues describe him as a pragmatic technical leader who still dives into code to solve the hard edge cases.
code10 years of coding experience
stackoverflow-logo

Stackoverflow

Stats
3,416reputation
1.6mreached
21answers
26questions
github-logo-circle

Github Skills (20)

algorithm10
algorithms10
computer-algebra10
python10
mathematics10
math10
data-structure10
data-structures10
optimization10
yii9
jpa6
documentation6
repository-pattern6
pthreads6
hibernate6

Programming languages (7)

TypeScriptJavaC++JavaScriptPHPRubyPython

Github contributions (5)

github-logo-circle
sympy/sympy

Sep 2016 - Sep 2016

A computer algebra system written in pure Python
Role in this project:
userBack-end Developer
Contributions:12 commits, 5 PRs, 10 comments in 1 day
Contributions summary:Sadeq primarily focused on optimizing the performance of the `diop_DN` function within the SymPy library. Their work involved implementing a `special_diop_DN` function to handle a specific case, leading to substantial performance improvements. Further enhancements included correcting issues, improving the docstrings, and code refactoring for better efficiency. The contributions demonstrate a strong understanding of numerical methods and optimization techniques.
computer-algebra-systempythonmathcomputer-algebrascience
msdousti/sympy

Sep 2016 - Jan 2025

Contributions:16 pushes in 8 years 4 months
pythoncomputer-algebra-systemalgebrapure-pythoncomputer-algebra
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial