Dmitry Berezhnoy

San Francisco, CA

Computer Software

Hotwire May 2017 - Aug 2017
Software Development Engineer, Android
Snap Inc. May 2017 - Aug 2017
Software Engineer
Hotwire Aug 2012 - Mar 2014
Software Engineer
Luxoft 2011 - 2012
Java Developer
Omsk State Social Security Center 2008 - 2011
Lead Software Developer

City College of San Francisco 2017 - 2018
City College of San Francisco 2015 - 2017
Omsk State Technical University (Ostu) 2005 - 2010
Masters, Computer Science Omsk State Institute of Service (Osis) 2005 - 2010
Masters, Computer Science

Software Development
Continuous Integration
Android Development
Java
Maven
Gradle
Jenkins
Kotlin
Appium
Selenium
Test Driven Development
Agile Methodologies
Sql
Amazon Web Services
Matlab
Apache Spark
Google Cloud Platform
Python
Tableau
Docker
Spark
Rxjava
Machine Learning
Deep Learning
Tensorflow
Cloud Computing
C++
Kubernetes
Apache Beam
Dataflow
Keras
Neural Networks
Deep Neural Networks
Unsupervised Learning
Artificial Intelligence
Go

Environment

Russian
English
Spanish
French

Learning How To Learn By University of California, San Diego
Mindshift: Break Through Obstacles To Learning and Discover Your Hidden Potential
Google Cloud Platform For Aws Professionals
Serverless Machine Learning on Google Cloud Platform
Applied Machine Learning In Python
Essential Cloud Infrastructure: Foundation
Machine Learning
Applied Text Mining In Python
Applied Social Network Analysis In Python
Sql For Data Science
Big Data Applications: Machine Learning at Scale
Mediation and Conflict Resolution
Applying Machine Learning To Your Data With Gcp
Certificate of Accomplishment In Spanish
Getting Started With Google Kubernetes Engine
How Google Does Machine Learning
Kotlin For Java Developers
Aws Fundamentals: Going Cloud Native
Advanced Machine Learning and Signal Processing
Fundamentals of Machine Learning In Finance
Applied Ai With Deeplearning
Image Understanding With Tensorflow on Gcp
Fundamentals of Scalable Data Science
Leading Yourself
Advanced Data Science With Ibm Specialization
Production Machine Learning Systems
Computer Vision Basics
Recommendation Systems With Tensorflow on Gcp
Aws Fundamentals: Building Serverless Applications
Architecting With Google Kubernetes Engine: Foundations
Object-Oriented Data Structures In C++
Understanding and Visualizing Data With Python
Natural Language Processing In Tensorflow
Ai Workflow: Feature Engineering and Bias Detection
Build Personal Resilience