Farzad Bonabi
Senior Business Analyst at twoday Data & AI
Denmark
Summary
👤
Senior🎓
Top SchoolFarzad Bonabi is a Senior Business Analyst and data engineer with a PhD in condensed matter physics who blends deep analytical rigor with practical cloud engineering to build scalable Azure data pipelines and CI/CD-enabled data platforms. After contributing instrumentation drivers and core fixes to Microsoft’s QCoDeS open-source framework, he transitioned from quantum research and software at Microsoft Quantum into hands-on data architecture and analytics roles across industry. With five years of professional experience, he excels at turning complex scientific and business requirements into automated, testable data solutions and has a strong background in numerical algorithm development and instrumentation. Colleagues describe him as open-minded, outgoing, and a collaborative problem-solver who leverages research-grade attention to detail to improve production systems.
5 years of coding experience
12 years of employment as a software developer
Master of Science - MSc, Solid State Physics, 18/20, Master of Science - MSc, Solid State Physics, 18/20 at Shahid Beheshti UniversityBachelor of Science - BSc, Physics, Bachelor of Science - BSc, Physics at Mohaghegh Ardebili UniversityDoctor of Philosophy - PhD, Condensed Matter and Materials Physics, Doctor of Philosophy - PhD, Condensed Matter and Materials Physics at Aalborg Universitet
Persian, Azerbaijani, Turkish, Danish, English
Github Skills (13)
vi10
develop10
instrumentation10
instr10
driver10
qcc10
python10
visa10
data-acquisition9
exp8
experiment8
documentation8
physics8
Programming languages (3)
Github contributions (5)
microsoft/Qcodes
Aug 2020 - Nov 2021
Modular data acquisition framework
Role in this project:
Backend Developer
Backend DeveloperContributions:2 releases, 143 reviews, 223 commits in 1 year 3 months
Contributions summary:Farzad primarily contributed to the core functionality of the QCoDeS framework, with a focus on instrument driver development. They implemented bug fixes and enhancements to existing drivers, specifically for the Yokogawa GS200 instrument, addressing issues with source modes and snapshots. Furthermore, the user updated documentation by fixing broken links and integrating changes in the example notebooks demonstrating a good understanding of the framework's architecture.
physicsdata-acquisitionstream-processingdata-processingframework
FarBo/Qcodes
Sep 2020 - Nov 2021
Modular data acquisition framework
Contributions:2 PRs, 149 pushes, 31 branches in 1 year 2 months
data-acquisitiondata-processingframeworkmodularacquisition
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