Konstantinos Tsitsimpikos

Staff Software Engineer at TileDB

Cambridge, Massachusetts, United States
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Summary

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Rockstar
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Konstantinos Tsitsimpikos is a Staff Software Engineer based in Cambridge, MA with 10 years of experience building large-scale backend systems and ML infrastructure. He combines a strong academic foundation from EPFL with hands-on expertise in machine learning stacks (TensorFlow, Kubeflow, TFX) and big data tooling like Apache Spark. At TileDB he has progressed from engineer to staff, contributing to core storage engine APIs and improving code quality, tests, and documentation for the widely used TileDB project. Previously he brought ML engineering rigor to FREENOW and gained research-grade exposure during a CERN internship, reflecting a blend of production focus and scientific precision. Colleagues would note his attention to API design and refactoring, which surfaces as safer, more maintainable systems behind the scenes.
code10 years of coding experience
job6 years of employment as a software developer
bookBachelor of Science - BSc Informatics & Telecommunication, Bachelor of Science - BSc Informatics & Telecommunication at Ethnikon kai Kapodistriakon Panepistimion Athinon
bookMaster of Science - MSc Computer Science, Master of Science - MSc Computer Science at EPFL
languagesGreek, German, English
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Github Skills (12)

c1710
arrayobject10
storage-engine10
dynamic-array10
c-language10
api10
c1110
cprogramming-language10
apidoc10
parallel-arrays10
typed-array10
multidimensional-arrays10

Programming languages (4)

TypeScriptC++Jupyter NotebookPython

Github contributions (5)

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TileDB-Inc/TileDB

Sep 2020 - Apr 2021

The Universal Storage Engine
Role in this project:
userBackend Developer
Contributions:34 reviews, 45 commits, 9 PRs in 7 months
Contributions summary:Konstantinos primarily contributed to the implementation of a "get array" API call, encompassing both C and C++ API integration. Their work involved adding function calls, modifying code to remove dependencies, and incorporating the new functionality into test cases. The user also refactored code, fixed formatting and typos, and updated documentation, showcasing a focus on code quality and API development within the TileDB storage engine.
data-analysisdataframessparse-datadata-sciencescientific-computing
TileDB-Inc/TileDB-BioImaging

Sep 2022 - Mar 2023

Package providing bioimaging functionality using TileDB. Source of the tiledb-bioimg Python package.
Contributions:28 releases, 118 reviews, 21 commits in 5 months
tiledbimagingbiobioimagingpython-package
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