Devops Cloud Hpc Systems Engineer
Resume:
SENIOR SYSTEMS/CLOUD/DEVOPS ENGINEER
SUMMARY
• Master of Science in Electrical and Computer Engineering, both technically focused and customer- oriented
• Security-conscious IT Professional with 10+ years of hands-on IT experience (AWS Cloud, Azure Cloud, CI/CD, Windows, Linux, Virtualization, Hardware, Storage)
• Good level of knowledge and versatile experience in the diagnosis of system faults, root cause analysis, issues investigating, and troubleshooting
• Project experience on AWS(CloudFormation, EC2, ECS, EKS, ECR, RDS, S3, ElastiCache), Kubernetes, Helm, Docker, Git, CI/CD, Bitbucket, Gitlab, Jenkins, Bash, Python, Postgresql. AWS Certified DevOps - Professional, AWS Certified Solutions Architect – Associate
• Project experience on Virtualization technologies. VMware Certified Professional (VCP-DCV). Project experience using Openstack
• Work experience with high-end server hardware and storages (HPE Proliant servers, HPE Blade Servers, HPE 3PAR Storage Arrays, HPE MSA Storage Arrays, Fiber Channel Storage Area Network)
• Good knowledge in developing system architecture and practical experience in delivering IT services. ITIL v3 Foundation certified. TOGAF 9 trained
• Fundamental knowledge of programming and algorithms (C, Python, bash scripting). Completed Upskill Program (School of advanced technologies QWANT) on FullStack Track developed by Silicon Valley Experts
• Fundamental knowledge of Machine Learning, Deep Learning, Internet of Things, High- Performance Computing
CERTIFICATES
• EPAM: AI Literacy Program, 2024
• Amazon Web Services: AWS Certified DevOps Engineer – Professional, 2022
• Amazon Web Services: AWS Certified Solutions Architect – Associate, 2022 SKILLS
Academic Disciplines
• Humanities: Russian, English
• Applied Sciences: Algorithms & Data structures, Virtualization, IT Infrastructure Engineering, Systems engineering, High-performance computing (HPC) Confidential June, 2025 2
Engineering Practices
• Infrastructure & Operations: Server Administration
• Data & Analytics: Deep Learning Architectures, DB Administration
• Advanced Technology: IoT Architecture and interfaces, Troubleshooting, Pre-Sale proposal development, Cloud Fundamentals, Algorithms, CI/CD, Reference Architectures, Continuous Delivery, Prompt Engineering for Dev Productivity, Engineering Excellence, Prompt Engineering, Continuous Integration, Systems Architecture, Generative AI Fundamentals
• Cloud: Container Orchestration management, Cloud Infrastructure Provisioning, Network Administration, Database Configuration and Maintenance, Containerization, Cloud Operations, Continuous Delivery Development & Maintenance, Log Management and Analysis, Cloud, DevOps, Monitoring Implementation and Maintenance, OS Administration, Automation Using Scripting and Programming Languages, Cloud Computing basics, Continuous Integration Development & Maintenance
Industries
• Social & Public Sector: Government Services
• Life Sciences: Life Sciences Technology, Life Sciences Leadership & Soft Skills
• Leadership: Mentoring, Leadership, Developing Others
• Communication: Giving and Receiving Feedback, Building dialogue, Active listening, Visual Representation of Information, Empathy, Meeting Facilitation, Confidence, Communication, Self- regulation
• Consultancy: Delivery Excellence, Client Relationship Management
• Business Acumen: Financial Awareness, Market orientation
• Diversity, Equity, and Inclusion: Diversity, Equity, and Inclusion
• Teamwork and Collaboration: Team Management, Teamwork and Collaboration
• Growth Mindset: Curiosity, Adaptability, Continuous learning
• Ownership: Ownership, Decision-making
Managerial
• People Management: People Management
• Service Management: ITIL:Service Operation, Information Technology Infrastructure Library Technologies
• Infrastructure: Monitoring tools, Nutanix
• Computer Languages: Bash, C [Programming Language], Python Confidential June, 2025 3
• Frameworks: TOGAF
• Web/Application Servers: Apache HTTP Server
• Solutions: Ansible, Squid, AWS Lambda, AWS Simple Notification Service, Amazon Elastic Container Service, Microsoft Visio, Docker Registry, VMware Player, Amazon Elastic File System, VMware ESXi, ZABBIX, IT Infrastructure and Operations tools, Terraform, AWS CloudFormation, Amazon S3, VMware vCenter Converter, Amazon EC2, Gitlab CI, Amazon CloudWatch, Amazon ElastiCache, Jenkins, VMware Workstation, AWS Simple Queue Service, AWS Simple Email Service, Confluence, Gitlab, AWS IoT Core, Red Hat Enterprise Virtualization
• Data: Amazon RDS, Amazon DynamoDB
• Platforms: Microsoft Azure, NetApp, Amazon Elastic Container Registry, Amazon FSx, AWS CodeBuild, Red Hat Enterprise Linux, IoT Platforms, Amazon Web Services, AWS Certificate Manager, Azure DevOps, AWS.Compute, AWS IAM, Amazon Elastic Kubernetes Service, AWS CodeDeploy, Azure Storage, AWS CloudTrail, AWS CodeCommit, OpenStack, Hyper-V, Amazon VPC, AWS CodeStar, Docker, Windows Server 2008 R2, NetApp ONTAP, Kubernetes, AWS.Storage, KVM, AWS CodePipeline, Windows Server 2012 R2, Azure Pipelines, AWS Backup
• Security Technologies: Multi-Factor Authentication, Cloud Well-Architected Frameworks
• Operating Systems: Linux, Microsoft Windows
• Network Tools & Technologies: Check Point Products and Solutions
• Tools: Slurm, IronPort, AWS Simple Storage Service
• Standards: FibreChannel, SSH, Firewalls, Git, Active Directory, RS-485, UML, CIFS, Infiniband WORK EXPERIENCE
Jan-2025 - Till now (Jun-2025) - NOT DISCLOSED, NOT DISCLOSED Project Roles: Build Engineer
Client: NOT DISCLOSED
Client Description: NOT DISCLOSED
Project Description: "Umbrella project focused on the development and support of a group of sub- projects, ensuring seamless integration, efficient execution, and alignment with organizational goals." Responsibilities:
• Connected various models, data, and services with AWS infrastructure to ensure seamless integration
• Deployed and configured AWS compute, network and storage resources within the client for executing SDGR tools
• Leveraged in-depth knowledge of AWS services to optimize cloud-based operations
• Troubleshot network, cloud-init, and Slurm-related issues to maintain system reliability and performance
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• Built and managed CI/CD pipelines using Jenkins to streamline deployment processes
• Developed and maintained Lambda functions using Python to support serverless architecture needs
• Created and optimized multi-stage Dockerfiles to enhance containerized application workflows
• Collaborated with teams to align processes with NIBR operational standards, ensuring compatibility and efficiency
• Tools and Technologies
• AWS: EC2, ASG, Userdata, Loadbalancer, ECS, CapacityProvider, ECR, IAM Roles, SecretsManager, CertificateManager, S3, CloudFormation, Eventbridge Scheduler, Lambda
• Other: Jenkins, Bitbucket, Terraform, Docker, ServiceNow
• Team: 1 PM, 1 Project Owner from client side, 2 Dev, 3 SME, 1 Devops Aug-2023 - Dec-2024 - NOT DISCLOSED, NOT DISCLOSED Project Roles: Build Engineer
Client: NOT DISCLOSED
Client Description: NOT DISCLOSED
Project Description: A strategic initiative at Client targeting the development of the next-gen platform for data analytics
Responsibilities:
• Support dev, test and prd environments for High Performance Computing(HPC) Platform
• Develop and update IaC repository
• Build and install software packages to hpc environment
• Create and update Jenkins pipelines
• Support Jenkins agents on AWS Elastic Kubernetes Service
• Implement and introduce new functions that help to optimize compute, storage or/and finance resources
• Take part on team brainstorming sessions on platform configuration Tools and Technologies:
• Terraform, Easybuild, Amazon Web Services, Amazon VPC, Amazon S3, Amazon Elastic Kubernetes Service, Amazon EC2, Terraform, Python, Jenkins, Easybuild, Docker, Confluence, BitBucket, AWS IAM, Amazon Web Services, Amazon S3, Amazon Elastic Kubernetes Service, Amazon Elastic Container Registry, Amazon EC2, Amazon RDS, Amazon DynamoDB Team:
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• 6 Engineers, 3 Managers(1 Manager, 1 Scrum master, 1 Technical manager) from client side Nov-2021 - Aug-2023 - NOT DISCLOSED, NOT DISCLOSED Project Roles: Build Engineer, Engineering Team Lead Client: NOT DISCLOSED
Client Description: NOT DISCLOSED
Project Description: For Business Entities
Who are heavily dependent on paperwork and manual document processing The solution is an API-first ML & Deep Learning IDP tool That allows extraction of any kind of documents
Unlike similar solutions on the market
It integrates with multiple OCR engines, Cloud-friendly/agnostic/native that makes it flexible enough to be tailored for any business case
Responsibilities:
• Responsible for CI/CD processes and Kubernetes clusters
• Report to Delivery Manager
• Facilitate daily standups of DevOps team
• Do cross-team communications
• Distribute tasks
• Conduct interviews
• Organize migrations of various environments(dev, qa, ds, etc.) from on-premise to EPAM Cloud
• Coordinate resolution of security tasks
Tools and Technologies:
• Gitlab CI, Kubernetes, Helm, Grafana Loki, Prometheus, Grafana, Docker, EPAM Cloud, PostgreSQL
Team:
• Dev: 5 - 25 members
• QA: 1 - 5 members
• Dev Ops: 1 - 6 members
Sep-2022 - Jun-2023 - NOT DISCLOSED, NOT DISCLOSED Confidential June, 2025 6
Project Roles: Build Engineer
Client: NOT DISCLOSED
Client Description: NOT DISCLOSED
Project Description: Creation of a Search Document Automation engine based on DE PS to feed data to the Client platform
Responsibilities:
• Developed Build and Release pipelines for 35+ microservices
• Builded docker images and pushed to ACR repository
• Deployed microservices to the AKS Cluster
• Created secrets and configmaps
• Conducted troubleshooting activities during deployment
• Performed integration of Azure Devops with Epam git
• Continuously communicated with Solution Architect and IT Operations from client side on resolving blockers
• Analyzed documentation on requirements, infrastructure
• Attended sessions with Solution Architecture
• Collected requirements from team members for infrastructure setup
• Calculated infrastructure objects and amounts based on resource requirements
• Worked on authorization integration with Azure AD
• Configured event-driven autoscaling of deployments using KEDA in Azure Kubernetes Cluster Tools and Technologies:
• Azure Cloud, Azure Kubernetes Service (AKS), Storage Accounts, Azure Database for PostgreSQL, Service Bus, Azure Cache for Redis, Azure Container Registry, Azure LiveLogs, Docker, KEDA, Azure Devops, Azure CLI, Jira, Confluence, Azure VPN Client, Kubectl, Azure Portal, PostgreSQL Team:
• Dev Team: 3, Data Science Team: 3, Analyst: 1, Project Manager: 1, QA Team: 1 Nov-2021 - Apr-2022 - NOT DISCLOSED, NOT DISCLOSED Project Roles: Build Engineer, DevOps Engineer
Client: NOT DISCLOSED
Client Description: NOT DISCLOSED
Project Description: PDF parsing solution that can be deployed within the Client environment Confidential June, 2025 7
Responsibilities:
• Created, Configured and Deployed to QA and Prod environments
• Analyzed customer infrastructure and design documents
• Configured Cloudformation templates and created EKS worker nodes and ALB for QA and Prod environments
• Created SSL certificates and sighned using customer internal service for ALB usage
• Created secrets using handover sheets from Infra team for redis, rabbitmq, s3, AzureFormRecognizer, AwsTextract, RDS
• Created required databases for application deployment
• Created and configured pipelines in QA and Prod Jenkins
• Adapted Jenkinsfile for QA and Prod
• Adapted Helmcharts for QA and Prod
• Maintained customer wiki
Tools and Technologies:
• Aws(CloudFormation, EKS, ECR, RDS, S3, ElastiCache), Kubernetes, Docker, Bitbucket, Jenkins, k9s, aws cli, bash, visual studio code, git, python, helm, PostgreSQL Team:
• Epam: Dev Team: 1, DevOps Team: 1
• Customer: Project Manager: 1, DevOps Team: 2
Jul-2020 - Jul-2021 - NOT DISCLOSED, NOT DISCLOSED Project Roles: Systems engineer, Manager
Client: NOT DISCLOSED
Project Description: • Installed, Configured, and Maintained the High-Performance Computing infrastructure
• Collaborated and cooperated with international experts from HPE
• Conducted weekly calls with clients
• Maintained backlog in Jira
• Developed wiki(How-To, Troubleshooting articles) in Confluence from scratch Responsibilities:
• Installed and configured High-Performance Cluster Confidential June, 2025 8
• including HPE Cluster Manager solution, HPE Tier Zero Storage solution - part of HPE DMF framework, HPE Proliant Gen 10 Servers(25 servers), Infiniband infrastructure, Servers with NVMe disks as Rpools(2 servers)
• Set up Linux-based (CentOS) environment, squid proxy server, key-based direct access to compute nodes, postfix to use gmail as a mail relay
• Monitoried infrastructure using HPE HPCM solution
• Troubleshooted issues on hardware/software of AI infrastructure (network,storage and etc.)
• Configured workload management and scheduling
• systems
• Provided consultations on improving and expanding AI and HPC infrastructures to other devisions Tools and Technologies:
• HP Proliant Gen 10 Servers
• MSA 2050 Storage Array
• Melanox Infiniband Switch
• Slurm Workload Manager
• RHEL 7
• Squid
• HPE Tier Zero Storage
• Environment Modules
• HPE High Performance Cluster Manager, HPE CXVM Manager, PUTTY, bash, slurm, yum, cmake, Mysql
Team:
• HPC support team: 3 members. 1 project manager, 2 system engineers Aug-2018 - May-2020 - NOT DISCLOSED, NOT DISCLOSED Project Roles: Masters Degree Candidate
Client: NOT DISCLOSED
Project Description: A study on load balancing of heterogeneous cloud instances under performance and cost constraints
Abstract—With the increasing demand for flexible computing resources and the popularity of Cloud Computing, there is a need for the precise adoption of various resource types of Cloud Platforms. In recent years, cloud service providers are adding heterogeneous compute instances with GPUs and FPGAs. While modern GPUs provide superior processing power, memory bandwidth, and efficiency over their CPU Confidential June, 2025 9
counterparts, FPGAs offer low power, high performance, and programmable features compared to other processors. Although these instances improve the throughput, they might increase the cost accordingly. So, workloads need to be intelligently assigned to keep the cost within the limit and at the same time to achieve better performance. This concept is very crucial for the future of cloud-based acceleration for machine learning and AI systems. In this work, we investigate the existing scheduling techniques and propose a novel algorithm for determining the optimal mapping of various workloads to the right compute instances by load balancing on heterogeneous resources in a cloud environment under the constraints like cost and time. The algorithm is demonstrated on real-world cloud platforms using Openstack as a Private Cloud and AWS as a Public Cloud platform
Responsibilities:
• Conducted literature review
• Performed background work including the installation and configuration of the local Private Cloud Platform infrastructure based on open-source software Openstack and
• preparation of AWS Public Cloud instances
• Adapted Matrix Multiplication
• and Fast Fourier Transform calculation codes for platform portability
• Run task profiling and defined cost information, developed an objective function subject to time and cost constraints, proposedthe flow chart and pseudocode
• Built an experimental model on the Excel spreadsheet
• and resolved it with Solver and the Simplex algorithm
• Prepared, presented and submitted a Report on the work acomplished Tools and Technologies:
• Openstack Compute (Nova), Image Service (Glance), Object Storage (Swift), Dashboard
(Horizon), Identity Service (Keystone), Networking (Neutron), Block Storage (Cinder), Telemetry
(Ceilometer)
• AWS VPC, EC2 (including advanced computing instances), IAM, EBS, S3
• Python, C language
• CUDA Framework
• Microsoft Solver
• Microsoft Word, PowerPoint, Excel with Solver Extension, Visio, Lattex software system for document preparation, Adobe PDF reader, Putty, Anydesk, MySQL Team:
• Committee: 3 members (1 Computer Engineering Professor, 1 Computer Science Professor, 1 External Industry Professional from Intel USA)
• Presenter: 1 member
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Jul-2017 - Jul-2018 - NOT DISCLOSED, NOT DISCLOSED Project Roles: Systems Architect, Project Manager
Client: NOT DISCLOSED
Project Description: Development and standardization of existing virtualization infrastructure based on VMware vSphere, HP Blade servers (2 chassis, 32 high-performance blade servers), Terabytes of Storage
(HP 3PAR Storage Array, EMC Storage Array)
Design and development of Government Cloud Architecture Responsibilities:
• Managed compute and storage resources
• Calculated required capacities
• Developed technical specifications for procurement of compute and storage resources
• Developed technical specifications for procurement of Goverment Cloud Platform Design phase
• Organized and participated in meetings with a contractor as a subject matter expert
• Organized approvement process of artefacts
Tools and Technologies:
• VMware vSphere
• HP Blade servers (2 chassies, 32 high performance blade servers)
• Storage Arrays (HP 3PAR Storage Array, EMC Storage Array)
• Fiber Channel Storage Area Network (Brocade), Microsoft Word, Excel, Visio, RDP, Putty, vSphere Client, Capacity calculators, TCO/ROI calculators, MS SQL Team:
• Team: 1 director, 3 experts
Jul-2015 - Jul-2017 - NOT DISCLOSED, NOT DISCLOSED Project Roles: Systems engineer
Client: NOT DISCLOSED
Project Description: Testing, simulation, investigation, and analysis of various Cloud Solutions for gaining knowledge before the design and implementation of Government Public Cloud Responsibilities:
• Installed, configured and colaborated on testing, simulation, investigation and analysis of the following technologies: RHEL Openstack Platform, hyperconverged system Nutanix, VDI solutions from VMware, Microsoft, Red Hat, load testing with LoginVSI Confidential June, 2025 11
• Cooperated with international experts and experts from other countries with scientific and practical experience in the development / implementation of cloud computing, with the aim of exchanging experience and enhancing expertise
• Developed reports on a work conducted
• Consulted Operations team on VMware vCloud Director environment and various troubleshooting activities
Tools and Technologies:
• HP Proliant DL360 Servers
• NetApp 3220 Storage array
• Arista switches
• Red Hat Enterprise Openstack Platform 7
• Nutanix
• VDI solutions from VMware, Microsoft, Red Hat
• HP LoadRunner, LoginVSI, Putty, HP iLO, Microsoft Word, Excel, PowerPoint, Capacity calculators, NetApp command line tools, MySQL, MS SQL
Team:
• Team: 1 Director, 3 system engineers (Server&Storage, Networking, Testing) May-2014 - Jul-2015 - NOT DISCLOSED, NOT DISCLOSED Project Roles: Presale Engineer, Solution Architect Client: NOT DISCLOSED
Project Description: Pre-Sale Activities
Consultations on HP Helion Cloud Platform
Responsibilities:
• Provided technical expertise to sales/pursuit team as needed for opportunity qualification, deal shaping, and risk assessment
• Designed solutions that address business and technical needs while balancing the customer budget and other considerations
• Worked on establishment of clear and reasonable expectations with customers and internal team members for project delivery
• Proactively communicated with customers to ensure that solution being delivered meets expectations and business requirements
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• Effectively communicated with key business and technology stakeholders in the client organization
• Ensured a seamless transfer of people, processes, and technology to the assigned transition, delivery, and client teams
• Continiously learned new technologies and solutions
• Actively sharied knowledge and expertise with team members in a collaborative manner Tools and Technologies:
• HPE Helion Cloud Platform
• HPE Proliant servers
• HPE Storage solutions
• HPE FlexFabric
• VMware esxi
• KVM, Microsoft Word, Excel, PowerPoint, Visio, RDP, Putty., MySQL Team:
• Account Manager: 1, Sales: 4 members, Delivery: 4 members Feb-2012 - May-2014 - NOT DISCLOSED, NOT DISCLOSED Project Roles: System administrator, Engineer
Client: NOT DISCLOSED
Project Description: Electronic Government services underlying infrastructure maintenance and support Operations of Server and Storage Hardware, Operating Systems, Virtualization Platforms Responsibilities:
• Installed, Configured and managed Enterprise Private Cloud Solutions based on virtualization
• vCloud Director 1.5, Veeam Backup 7
• VMware vSphere 4.1, 5.1
• HP CloudSystem Matrix 6.3, 7.0, HP Data Protector 6.20
• Microsoft System Center 2012: Windows Server 2012, Hyper-V 2.0, Hyper-V 3.0, OpsMan 2012, VMM 2012 sp1, DPM 2012 sp1
• HP D2D, HP StoreOnce B6200, HP EVA P6200, HP 3PAR, HP BladeSystems
• Migrated various systems and services to new hardware and platform
• MS SC 2012 on Windows Server 2008r2 to MS SC 2012sp1 on Windows Server 2012 Confidential June, 2025 13
• From Physical to Virtual Migrations (P2V)
• From Virtual to Virtual Migrations (V2V)
• From Red Hat KVM to VMware vSphere 5
• From vSphere 4.1 to vSphere 5.1
• Worked with support team of vendors
• Worked on developing and maintaining work documentation (architecture, schemes, administrator and user guides)
Tools and Technologies:
• vCloud Director 1.5, Veeam Backup 7
• VMware vSphere 4.1, 5.1
• HP CloudSystem Matrix 6.3, 7.0, HP Data Protector 6.20
• Microsoft System Center 2012: Windows Server 2012, Hyper-V 2.0, Hyper-V 3.0, OpsMan 2012, VMM 2012 sp1, DPM 2012 sp1
• HP D2D, HP StoreOnce B6200, HP EVA P6200, HP 3PAR, HP BladeSystems, VMware client, Putty, esxi client, HP Matrix console, HP EVA Storage console, HP 3PAR console2, Microsoft Server Management console, Microsoft Virtual Machine Manager, Oracle, MySQL Team:
• Operations team: Director: 1 member, Hardware and Virtualization: 8 members, Networking team: 7 members, DB team: 5 members, Middleware team: 8 members Jul-2011 - Feb-2012 - NOT DISCLOSED, NOT DISCLOSED Project Roles: System administrator
Client: NOT DISCLOSED
Project Description: System administration of existing IT infrastructure including servers, storage, virtual infrastructure, security systems, directory, and network services Responsibilities:
• Administred Active Directory service, MS Exchange server 2003, Checkpoint Firewall R71
• Conducted testing and developed report on antispam systems - Websense, MS Forefront, Cisco Ironport, McAfee Antispam
• Supported VMware Virtual Infrustructure configuration, tuning
• Installed and configured Windows Server 2003/2008 R2, Linux RHEL
• Ensured correct operations of hardware: HP Proliant servers, IBM Bladecenter E/H, IBM Storage System, NetApp
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• FAS 2060/3210
• Kept server infrustructure, diagrams and documentation updated
• Solved incoming infrastructure related incidents from users Tools and Technologies:
• Windows Server 2003/2008 R2, Linux RHEL
• MS Exchange server 2003
• Checkpoint Firewall R71
• Cisco Ironport, Websense, McAfee Antispam, Microsoft Forefront
• Microsoft Server Management console, Putty, RDP, IBM Storage Manager, Microsoft Word, Excel, Visio, MS SQL, MySQL
Team:
• Manager: 1 member, Technical lead: 1 member, System administration: 2 members, Technical support: 3 members
May-2009 - Jul-2011 - NOT DISCLOSED, NOT DISCLOSED Project Roles: Presale Engineer
Client: NOT DISCLOSED
Project Description: Presale activities on infrastructure audit, consolidation of infrastructure using virtualization technologies, Proof of Concepts (PoC) Responsibilities:
• Performed audit of customer infrastructure
• Analized Data Centers for possibility of consolidation using virtualization, WAN optimization and deep package inspection technologies
• Conducted presentations and Proof of Concept activities on VMware, Riverbed and Allot solutions
• Colaborated with partners
• Developed technical documents (calculations, schemes, concepts)
• Attended on vendor trainings and certification exams Tools and Technologies:
• VMware virtual infrastructure
• Allot Deep Packet inspection
• Riverbed WAN optimization, Microsoft Word, Excel, PowerPoint, Visio, VMware TCO calculator, PoC hardware, MS SQL
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Team:
• Manager: 1 member, Technical Stuff: 2 members
Oct-2008 - May-2009 - NOT DISCLOSED, NOT DISCLOSED Project Roles: System administrator
Client: NOT DISCLOSED
Project Description: Server installation and administration, processing of various requests Responsibilities:
• Performed installation of collocation servers
• Administred Linux and Windows 2003 servers
• Determined Megaline(Internet service) sessions according to requests of security agencies Tools and Technologies:
• Domino Lotus, Putty, RDP, Oracle
Team:
• director: 1 member, system administrator: 2 members, middleware specialists: 2 members EDUCATION
Name of the Education Establishment: NAZARBAYEV UNIVERSITY Faculty/College: School of Engineering
Department: Electrical and Computer Engineering
Specialty: Computer Engineering
Degree (diploma): Master
Name of the Education Establishment: ESKISEHIR OSMANGAZI UNIVERSITY Faculty/College: Engineering and Architecture
Department: Electrical and Electronics Engineering Specialty: Computer Engineering
Degree (diploma): Bachelor
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