Shreyans Doshi
Strategy Development Lead
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolShreyans Doshi is a C++-focused technology leader with 11 years of experience building low-latency trading systems and strategy frameworks, currently leading strategy development at Eagle Seven in Amsterdam. He spent six years in high-performance trading roles at Flow Traders and Morgan Stanley, where he specialized in latency-sensitive engines and production-grade C++ systems. An active open-source contributor, he has contributed core metaprogramming enhancements to Boost.Hana and practical tooling and testing improvements to coala, reflecting deep expertise in template metaprogramming and developer workflows. Comfortable shifting between hands-on engineering and strategic direction, he pairs rigorous systems thinking with an eye for automation and testing infrastructure. Based in the Netherlands with roots in India, he brings a disciplined, research-minded approach to trading technology and a track record of improving both libraries used by peers and mission-critical trading platforms.
11 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Computer Engineering, Bachelor’s Degree, Computer Engineering at Nirma UniversityDayamayi Mata SchoolHigh School, Science, High School, Science at Ultra Vision Academy
English, Hindi, Gujarati
Github Skills (23)
algorithm10
algorithms10
c-language10
pytest10
python10
testing10
data-structure10
data-structures10
cpp10
cprogramming-language10
boost10
lint9
headeronly9
code-analysis9
automations8
Programming languages (6)
Github contributions (5)
coala/coala
Feb 2017 - Nov 2017
coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.
Role in this project:
Back-end Developer / Automation Engineer
Back-end Developer / Automation EngineerContributions:23 commits, 25 PRs, 468 comments in 8 months
Contributions summary:Shreyans contributed to the coala project by fixing bugs, enhancing documentation related to testing procedures, and improving the codebase. They addressed issues involving logging, parameter order in docstrings, and replaced older testing frameworks with newer ones (py.test to pytest). Furthermore, they introduced a generic filter-by option for listing bears and improved the testing infrastructure, including adding tests with color options and the use of a custom executor.
fixinglinterlintpythonwindows
boostorg/hana
Apr 2017 - Jun 2017
Your standard library for metaprogramming
Role in this project:Back-end Developer
Back-end DeveloperContributions:7 commits, 3 PRs, 31 comments in 1 month
Contributions summary:Shreyans primarily contributed to the core functionality of the `hana` library, a standard library for metaprogramming. They implemented new methods for `map` data structures, specifically focusing on `union_`, `intersection`, and `difference` operations, alongside related documentation updates. The commits demonstrate a deep understanding of template metaprogramming techniques within the context of the Boost library. These additions enhanced the library's capabilities for manipulating and processing data structures at compile time.
cppmetaprogrammingheader-onlystandard-libraryboost
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