Andrew Tausz
Engineering at Orca DB
Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolAndrew Tausz is an experienced engineering leader and software engineer with 16 years building production-grade machine learning and realtime data systems across startups and large companies. He has led ML platform and fraud teams, rewritten critical detection pipelines at Stripe, and now works on memory-driven MLOps at Orca DB, combining model engineering with cloud-native infrastructure. Comfortable across Python, Java, Scala, Go and C++, he’s shipped streaming ETL, Spark/Hadoop pipelines, and containerized deployments on AWS/GCP. His background in applied math, statistics and a Stanford PhD/MS informs a rigorous approach to feature engineering, model architecture and auditable ML systems. Notably, he joined early-stage startups as a first engineer to build large-scale crawlers and face-recognition pipelines, showing both hands-on implementation skill and product sensibility. Based in Toronto, he blends quantitative depth with team-building to turn research-grade models into reliable, operable services.
16 years of coding experience
15 years of employment as a software developer
BASc Engineering Science Mathematics, BASc Engineering Science Mathematics at University of TorontoPhD ICME, PhD ICME at Stanford University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
persistent10
topological-data-analysis10
data-analysis8
scoring5
scala2
sbt2
dotty2
onnx1
jvm1
Programming languages (1)
Github contributions (5)
appliedtopology/javaplex
Mar 2010 - Jan 2016
Contributions:1 release, 242 commits, 1 push in 5 years 10 months
data-analysispersistent-homologytopological-data-analysispersistenthomology
appliedtopology/plex-viewer
Sep 2010 - Jun 2013
Contributions:38 commits in 2 years 10 months
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