Jana Darulova
Forward Deployed Engineer at Palantir Technologies
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolJana Darulova is a Forward Deployed Engineer with nine years of experience combining a physics PhD, machine learning, and production-grade Python engineering to automate and scale quantum computing experiments. She developed supervised ML pipelines to remove manual intervention in semiconductor qubit tune-up during her PhD and continued tackling scalable qubit initialization at Microsoft Quantum, contributing backend fixes and extensibility to the widely used microsoft/qcodes data-acquisition framework. Based in Zurich, she has bridged research and deployment roles at Microsoft, ETH Zürich and Palantir, translating complex experimental workflows into robust software and operational solutions. A self-starter and empathetic collaborator, she brings both deep technical rigor from academia and practical field experience deploying solutions at scale.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS Physics, Master of Science - MS Physics at EPFLDoctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at ETH Zürich
English, German, Slovak, French, Czech
Github Skills (7)
web-framework10
instrumentation10
data-acquisition10
python10
physics9
exp9
experiment9
Programming languages (3)
Github contributions (5)
microsoft/Qcodes
Mar 2017 - Jun 2021
Modular data acquisition framework
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 reviews, 59 commits, 2 PRs in 4 years 3 months
Contributions summary:Jana's commits primarily focus on enhancing the `microsoft/qcodes` repository, a framework for data acquisition. The user fixed issues related to instrument control and history clearing within the ZI UHFLI driver. Furthermore, the user introduced support for custom channel definitions within the `DelegateInstrument`, adding flexibility to the framework. These changes demonstrate a focus on improving instrument control and expanding the capabilities of the data acquisition system.
data-acquisitiondata-aquisitionphysics
microsoft/nanotune
Mar 2021 - Sep 2021
Code for automatically tuning quantum dots
Contributions:1 release, 14 reviews, 477 commits in 5 months
tuningdotsquantumquantum-computing
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