Michal Siedlaczek
Senior Software Engineer at MongoDB
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolMichal Siedlaczek is a Senior Software Engineer based in New York with 12 years of experience focused on search and information retrieval. He holds a PhD in Computer Science from NYU where he researched distributed search engine efficiency and now applies that expertise on the Atlas Search team at MongoDB. Earlier at IBM he developed and maintained an internal search engine, and his open-source work includes performance-critical contributions to PISA, implementing Recursive Graph Bisection and parallelized indexing optimizations. Comfortable across backend systems and test automation, he has also improved spell-checking and CLI tooling for qutebrowser. Michal blends rigorous academic research with pragmatic engineering, favoring performant indexing algorithms and parallelization techniques that scale in production. A fan of open source, he often contributes low-level optimizations that aren’t obvious from product-facing features.
12 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at New York University - Polytechnic School of EngineeringMaster's degree Computer Science, Master's degree Computer Science at University of Warsaw
Polish, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
algorithm10
algorithms10
c-language10
qt10
python10
inverted-index10
qtwebengine10
data-structure10
pyqt10
qutebrowser10
data-structures10
cprogramming-language10
qwebengine10
pytest9
browser9
Programming languages (18)
Github contributions (5)
pisa-engine/pisa
Dec 2018 - Jan 2023
PISA: Performant Indexes and Search for Academia
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 releases, 51 reviews, 582 commits in 4 years 1 month
Contributions summary:Michal contributed extensively to the implementation of the Recursive Graph Bisection algorithm, a core component of the PISA engine. Their work focused on building efficient indexing algorithms, as demonstrated by the inclusion of code for document partitioning and the computation of move gains. The commits also involved performance improvements through caching mechanisms, as well as the application of TBB for parallelization. Furthermore, the user contributed to the tooling of the project adding functionality to compute thresholds.
inverted-indexindexespisaindexingsearch-engine
qutebrowser/qutebrowser
Aug 2017 - Apr 2018
A keyboard-driven, vim-like browser based on Python and Qt.
Role in this project:Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:34 commits, 5 PRs, 48 comments in 8 months
Contributions summary:Michal's primary contribution revolved around enhancing and testing the spell-checking functionality within the qutebrowser project. They implemented and modified code related to spell checking dictionaries for the QtWebEngine component. They also wrote unit and end-to-end tests for the spell-checking features. The user also added a command-line interface for managing dictionaries.
pythonqtwebenginebrowservimvim-like
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