Kiavash Kianfar

Staff Software Engineer at Databricks

San Francisco, California, United States
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Summary

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Senior
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Kiavash Kianfar is a Staff Software Engineer at Databricks, leading work on Lakeflow Spark Declarative Pipelines after progressing from Senior Software Engineer roles. He brings a rare blend of industry and academia, having been a tenured Associate Professor at Texas A&M where he taught and researched bioinformatics, optimization, and capacity planning in complex systems. With a Ph.D. in Industrial and Systems Engineering and over eight years in software engineering, he focuses on scalable data pipelines and algorithmic rigor for large‑scale analytics. Based in San Francisco, he pairs production engineering at Databricks with ongoing adjunct teaching, bridging cutting‑edge platform development and pedagogy. Colleagues value his ability to translate theoretical optimization insights into practical, performant Spark systems. He is known for combining deep systems thinking with hands‑on delivery across research and product teams.
code8 years of coding experience
job24 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Industrial and Systems Engineering, Doctor of Philosophy (Ph.D.), Industrial and Systems Engineering at North Carolina State University
bookMaster of Science (M.S.), Industrial Engineering, Master of Science (M.S.), Industrial Engineering at Sharif University of Technology
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Stackoverflow

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Github Skills (14)

bioinformatics10
regression10
machine-learning10
genomics10
scale10
spark10
population-genetics10
gwas10
large-scale10
delta10
conda4
string-matching4
fm-index3
conda-forge2

Programming languages (3)

C++ScalaPython

Github contributions (5)

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MIP Code and Computational Experiment Code for the article "Optimum Search Schemes for Approximate String Matching Using Bidirectional FM-Index"
Contributions:3 PRs, 46 pushes, 1 branch in 4 months
fm-indexstring-matching
Contributions:6 PRs, 4 pushes, 6 branches in 1 day
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