Alexander Sivura
Principle Machine Learning Engineer at Palo Alto Networks
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolAlexander Sivura is a Principal Machine Learning Engineer with a decade of experience building production AI systems focused on healthcare data integrity and operational impact. He has led AI teams at HealthTap and Health Gorilla, shipping GPT-4–based clinical chatbots, RAG retrieval pipelines, and EHR-to-summary transformations that materially sped clinician workflows and cohort definitions. Based in Palo Alto, he combines hands-on ML engineering (PyTorch, SageMaker, LangChain) with pragmatic data engineering—normalizing clinical data to OMOP and creating large labeled datasets for NER/NEN and duplicate-question retrieval. Notably, he reduced a 1M+ medical question corpus by over 66% via transfer-learned biencoder/cross-encoder pipelines and shepherded projects from research prototypes to enterprise-grade deployments. He holds advanced AI training from Stanford and a strong software engineering foundation from MSTUCA, blending research-informed approaches with product-minded execution.
10 years of coding experience
14 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Moscow State Technical University of Civil Aviation (MSTUCA)Artificial Intelligence Graduate Program, Artificial Intelligence Graduate Program at Stanford University
Russian, English
Stackoverflow
721reputation
224kreached
3answers
1question
Github Skills (65)
cross-platform10
android10
ios10
react-native10
react10
mobile9
app-framework8
wordnet8
classifier8
mobile-development8
photo-library8
static-site8
romaji8
lda7
mappings7
Programming languages (6)
Github contributions (5)
asivura/weather-obj-c
Nov 2015 - Feb 2018
Contributions:14 pushes, 2 branches in 2 years 3 months
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