Suchita Mukherjee

Senior Software Development Engineer at Zillow

Seattle, Washington, United States
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Summary

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Senior
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Suchita Mukherjee is a Senior Software Development Engineer based in Seattle with nine years of professional experience and 4+ years focused on full‑stack enterprise web applications. She routinely ships Java and React solutions, and pairs frontend polish (HTML, CSS, JavaScript) with backend reliability using Docker, Python and cloud-native tooling like Kubernetes. Her work at Zillow and Amazon spans feature delivery, CI/CD and infrastructure automation—she’s rebuilt legacy workflows, improved performance and reduced operational toil. Earlier research at UC Davis on reproducibility and interactive visualizations shows she combines practical product engineering with data-driven tooling. Colleagues describe her as a pragmatic engineer who turns messy integration problems into tested, deployable systems.
code9 years of coding experience
job8 years of employment as a software developer
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of California, Davis
bookBachelor of Engineering (B.E.), Electrical Engineering, Bachelor of Engineering (B.E.), Electrical Engineering at Jadavpur University
languagesEnglish, Hindi, Bengali
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Github Skills (18)

search-engine10
java10
restful10
elasticsearch10
opensearch9
webservice9
url-parameters9
flask9
apache-poi6
information-visualization6
sorting6
excel6
android6
python6
javascript6

Programming languages (4)

JavaJavaScriptJupyter NotebookPython

Github contributions (5)

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ucd-plse/PyDFix

Apr 2021 - Jun 2021

PyDFix is a tool that helps detect and fix dependency errors that cause the unreproducibility of Python builds. PyDFix takes as input the current build log, the original build log and the source code. PyDFix first identifies dependency errors and possible dependency packages causing these errors using LogErrorAnalyzer. This is followed by iteratively building a patch that makes the build reproducible again by Itera- tiveDependencySolver. The iterative algorithm for building the patch keeps re-running the build with intermediate patches and analyzing the new build logs produced to further identify errors and problematic dependency version specifications. This process continues until the build becomes reproducible, or all patch options have been tested and deemed not useful.
Contributions:2 releases, 10 commits, 9 pushes in 2 months
Suchita94/about-me

Mar 2020 - Jul 2021

Contributions:10 pushes, 1 branch in 1 year 4 months
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