# Sergey Zelvenskiy

> Staff ML Engineer (Fraud) @Uber

Location: San Mateo, California, United States
Profile: https://flows.cv/sergeyzelvenskiy

Techno optimist

## Work Experience
### Staff Software Engineer @ Uber
Jan 2019 – Present | Sunnyvale, California, United States
Builder of Risk Entity Watch 👀: https://www.uber.com/blog/risk-entity-watch/
Builder of RADAR 📡: https://eng.uber.com/project-radar-intelligent-early-fraud-detection/
Contributor to Uber Michelangelo: https://eng.uber.com/michelangelo-machine-learning-platform/

### Lead Machine Learning Engineer @ Walmart Labs
Jan 2018 – Jan 2019 | San Francisco Bay Area
- Drastically improved feature engineering system including data quality controls, fast onboarding, and experiment tracking capabilities.
- Supported the implementation of the text classification models using NLP/convolutional networks
- Supported the implementation of search ranking using xgboost- lambdamart
- Rebuilt catalog indexing pipeline bringing 10x optimization of resource utilization, consistency testing, linear scalability, and performance improvements.
- Designed and implemented the processes for data quality and search results validation

### Lead Machine Learning Engneer @ ThinAir
Jan 2016 – Jan 2018 | Palo Alto, CA
- Built the AI for detecting malicious user activities using custom-designed time-series anomaly detection algorithms. Scaled to handle 4 billion events per day.
- Build Spark-based framework for hosting streaming apps featuring the following capabilities:
- Breaking change for stateful streaming apps
- Realtime reconfiguration without restart
- Time series functions for GroupBy aggregations
- Time-series Forward fill/Backward fill
- Distributed unique counts
- Built the simulation system for the user behavior using Monte-Carlo sampling methods implemented using on Akka
- Developed AI chatbot capable of producing advanced data reports based on natural language commands.

### NLP Data Pipeline Engneer @ Zignal Labs
Jan 2014 – Jan 2016 | San Francisco Bay Area
- Real-time data stream analysis and NLP using Apache Spark, Scala, Akka, Lucene, Elastic Search, Apache Storm
- Custom NLP models, which go beyond sentiment analysis

### Co-founder & CTO @ ForUsAll
Jan 2012 – Jan 2014
Built no-code system for managing "Dave" - a proprietary automated financial advisor.
This technology platform:
-  delivered an order of magnitude improvement in terms of employee engagement in financial transactions over the industry baseline.
- helped to raise tens of millions of dollars in funding
- grow the company to billions in assets under management.

### Platform Architect @ Macy's
Jan 2007 – Jan 2012
Building high performance eCommerce back-end platform from ground up using Java.
http://siteanalytics.compete.com/macys.com/


## Education
### Master of Science - MS in Applied Mathematics
Higher School of Economics


## Contact & Social
- LinkedIn: https://linkedin.com/in/szelvenskiy

---
Source: https://flows.cv/sergeyzelvenskiy
JSON Resume: https://flows.cv/sergeyzelvenskiy/resume.json
Last updated: 2026-04-12