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Dear HR Team, My name is Slobodan Todić. I am graduated engineer – master of Electrical Engineering. I have completed 5 years long study on Faculty of Electrical Engineering, University of Belgrade – Serbia and I have more than 20 years of experience in Computer Network Planning, Implementation and Management. Also, I have experience with end user application implementation and support. As a Networking Engineer, I have experience with routing and switching internetwork devices like Cisco routers and switches, Virtualization technology – VMware VI3.5 and vSphere 4.0/5.1/5.5/6.0, Microsoft Hyper-V, Citrix XenApp and Red Hat KVM/RHEV. As a System Administrator I have experience with major network operating systems and servers: Red Hat/CentOS/OEL 5/6/7, Ubuntu 12.04/14.04/16.04 and Microsoft Windows 2003/2008R2/2012R2, Microsoft and Oracle Cluster services, MS Exchange 2007/2010R2, ISA Server, SQL Server, SCOM/SCCM2007/2012R2 etc... Regarding Help Desk Support my knowledge and experience are based on MS Office XP/2003/2007/2010 and other Microsoft applications including workstation operating systems like Windows 2000/XP/7/10. Latest seven years, I have tightly connected to OpenSource solutions based on Linux OS (CentOS and Ubunu) in hybrid environment: on client local premises and cloud environment. I have more than 4 years experience as a DevOps Engineer and my work is mainly related in that period to AWS cloud solutions. At latest job, I was employed as DevOps consultant and complete solution is based on Event-driven architecture: Integration of AWS Lambda services based on JavaScript/Python programming and integration/automation with Serverless framework and AWS CloudFormation. I am also certified as AWS DevOps Engineer. IT areas of interest and intensive learning/working (Jan 2019 - Jun 2019): • Serious study, testing and implementation of various AWS services related to AWS DevOps Certification – Professional level. • Python programming (Data Science and data analysis approach by using various frameworks: SciPy, NumPy, Pandas Matplotlib, Seaborn, SciKit-learn • Machine Learning study according to Stanford regular course CS-229 • Deep Learning: Neural Networks, CNN (Convolutional Neural Networks), RNN (Recurrent Neural Networks) according to Stanford regular courses: CS-224, CS-230, CS-231 • Improving Python knowledge with additional frameworks related to Machine Learning (ML) and Deep Learning (DL) like: SciKit-Learn, TensorFlow, Keras, and PyTorch. IT areas of interest and intensive learning/working (2016-2018): • Python and Java programming • DevOps integration of Ansible, Docker and Jenkins on public cloud platform: Amazon Web Services (AWS) based on OpenSource OS (CentOS/Ubuntu). • OpenStack cloud solution, Linux Security, Python programming • Google Cloud Platform, Kubernetes and Docker Containers, Microservices • Jenkins CI v2 pipeline ©

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