Alexander Ulanov
Staff Machine Learning Engineer
- Role
- Staff Machine Learning Engineer at Hewlett Packard Enterprise
- Location
- Palo Alto, CA, US
- LinkedIn followers
- 500 followers
About Alexander Ulanov
Alexander Ulanov works on real-worlds application of machine learning, in particular, recommender systems. He performs applied research and designs the ml system end to end. Alexander has made several open source contributions to Apache Spark on the topic of deep learning and graphical models. Previously, he worked on text mining, classification and recommender systems. He has a number of papers published in peer-reviewed conferences and holds a PhD in mathematical modeling.
Experience
Staff Machine Learning Engineer
Apr 2017 — Present · San Francisco, CA, US
Ads Core Machine Learning- Ads retrieval: proposed and shipped new modeling paradigms to capture more signals with less cost- Shopping Ads Recommender: end to end design and support - retrieval/ranking/systems/product- Semantic signals in ranking: zero-to-one enablement in major placements- Signals and Privacy
Education
Peter the Great St.Petersburg Polytechnic University
Master's degree, Control theory
1998 — 2004
St.Petersburg Institute for Informatics and Automation of Russian Academy of Sciences
Doctor of Philosophy (PhD), Mathematics and Computer Science
2004 — 2007
Skills
- Semantic Technologies
- Mysql
- Semantic Web
- Information Retrieval
- Pattern Recognition
- Javascript
- Html
- Software Development
- Programming
- Sentiment Analysis
- Artificial Intelligence
- Apache Spark
- Relational Databases
- Deep Learning
- Algorithms
- Recommender Systems
- Machine Learning
- Computer Science
- Data Mining
- Databases
- Text Mining
- Scala
- Ontologies
- Java
- Information Extraction
- Natural Language Processing
- Computational Linguistics
- Text Analytics
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