Florian Pfisterer
Software Engineer at Salesforce
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolFlorian Pfisterer is a software engineer with 11 years of experience building scalable cloud-native systems, currently working on the Hyper Database team at Salesforce. He holds advanced training in statistics (PhD-level background on GitHub) and blends that expertise with practical ML, Python/R and deep learning skills to deliver data-driven features and services. Florian has led engineering teams and startups, architecting multi-database AWS deployments, CI/CD pipelines, IoT integrations and ML microservices while also shipping consumer-facing iOS and React apps. His open-source contributions include substantive work on the widely used mlr machine-learning toolkit in R, where he improved benchmarking, critical-differences plots and unit tests. He combines academic research experience (NLP and machine translation) with hands-on cloud and systems programming from internships at HubSpot and AWS. Known for spotting and fixing low-level bugs as well as designing scalable prototypes, he thrives at the intersection of research, engineering and product.
11 years of coding experience
9 years of employment as a software developer
Abitur, Abitur at Andreae-Gymnasium HerrenbergBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Karlsruhe Institute of Technology (KIT)Master of Science - MS Computer Science, Master of Science - MS Computer Science at Technical University of MunichBachelor's thesis Computer Science, Bachelor's thesis Computer Science at Carnegie Mellon University
German, English
Github Skills (13)
statistics10
machine-learning10
r10
data-science9
r-package9
benchmark9
benchmarking9
regression8
classification8
clustering8
fine-tuning7
performance-tuning7
auto-tuning7
Programming languages (9)
Github contributions (5)
mlr-org/mlr
Aug 2015 - Apr 2018
Machine Learning in R
Role in this project:
Data Scientist
Data ScientistContributions:22 commits, 36 PRs, 194 pushes in 2 years 8 months
Contributions summary:Florian contributed to the `mlr-org/mlr` repository, which focuses on machine learning in R, by including and updating descriptions and equations within the `generateCritDifferences.R` file. They also added code related to batchmarking and converting batchmark registries to BenchmarkResults, leveraging OpenML tasks and related libraries. Finally, the user fixed bugs and improved unit tests related to critical differences plots.
imbalance-correctionlearnersensemble-learningclassificationr-package
mlr-org/mlr3fairness
Jun 2021 - Jan 2023
mlr3 extension for Fairness in Machine Learning
Contributions:1 release, 101 reviews, 403 commits in 1 year 7 months
r-packageautoencoderstatisticsdata-sciencemachine-learning
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