Tayfun T.
Software Development Engineer@ Amazon
San Francisco Bay Area
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Tayfun T. is a highly experienced professional with over 20 years of work experience. He has a strong background in.net, university teaching, algorithms, C, and jQuery. Based in the United States, Tayfun has a deep understanding of the full Machine Learning pipeline and has worked on various projects including data collection, feature engineering, model building, and regression and clustering models. He is also a advocate for clean, intuitive, modular, and test-driven software development. Tayfun has a deep understanding of Python, Java, Scala/Hadoop/Spark, Elasticsearch, C#, PHP, and JavaScript/JQuery. He is proficient in various tools and tools such as Terminal,
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Research Details
Skills & Insights
Colleagues

Emails and Phone Numbers

@amazon.co.uk
@servicenow.com
@amazon.com
@amazon.co.uk
@amazon.com
@amazon.com
@servicenow.com
@digitalics.com
@appzen.com
@amazon.co.uk
@gmail.com
@uh.edu
@amazon.com
+1 206266****
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About

* Experience and ownership of full Machine Learning pipeline: data collection, feature engineering, model building, parameter tuning and deployments of classification and regression and clustering models * Advocate of clean, intuitive, modular and test-driven software development * Daily usage of Jenkins, Docker Containers, Kubernetes (K8s), Datadog, Grafana, Kibana and AWS * Confidence and experience in Python, Java, Scala/Hadoop/Spark, Elasticsearch, C#, PHP and JavaScript / JQuery; PostgreSQL, MongoDB, Oracle, Neptune, DynamoDB, MySql and Sql Server * Favorite Tools: Terminal, Jupyter Notebook, PyCharm/IntelliJ, Weka, Eclipse, Visual Studio.NET, MySQL Workbench, DBeaver

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Work Experience

2127 7th Ave., Seattle, WA, 98109, US

Software Development

758691
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Tayfun T.'s Professional Milestones

  • Postdoctoral Research Fellow: Published groundbreaking research on new technologies, driving advancements in the field.
  • Software Engineer (2006-07-01~2008-08-01): Developed innovative software solutions for increased efficiency and productivity.
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Education

University of Houston
University of Houston

Computer Science

2008-2010