NAGMAT NAZAROV

775-***-**** ad1mdy@r.postjobfree.com linkedin.com/in/nagmat-nazarov-542338b/

HIGHLIGHTS

● Comprehensive experience in Network automation using Python, P4, Linux, dpkt

● Expertise in multi-vendor technologies including but not limited to P4, EdgeCore, bmv2

● Solid knowledge of AWS and GCP Cloud Networking

● Experienced in day-to-day operations of large enterprise networks

● Immaculate written and verbal communication skills

● Fluency in five languages (English, Russian, Korean, Turkish, Turkmen) WORK EXPERIENCE

University of Texas Arlington, HPC and Networking lab August 2023 - Present Graduate Research Assistant

Implemented enq_deq_qdepth latency exploration and rerouting of the packets using bmv2 programmable switches on the Fabric Testbed platform. (github.com/nagmat1/Routing_enq_deq_depth)

• Responsible for implementation of P4 programs, deployment of the platform on Fabric-Testbed using jupyter notebook.

• Utilizing P4 for the retrieval and modification of queue-related information within network registers, followed by the analysis of the processed data.

• Define standards and processes for the network automation;

• Responsible for designing, building and maintaining robust and scalable network automation architectures and solutions in bmv2 environments;

• Developing automation solutions through the implementation of Docker, involving the deployment of servers as programmable switches using Docker technology.

● Designed a highly scalable programmable network by leveraging server platforms (without switches). This architecture fully automates the processes of configuration generation, checking, pushing, and validation.

● Implemented solutions for network wide configuration backup, change detection and troubleshooting and rerouting procedures

Lawrence Berkeley National Laboratory - Es.net division.(Intern 3 month) (June-August 2023) Graduate Research Assistant

• Utilized intelligent data analytics in order to identify important flow features which allow us to detect anomalies.

• Leveraged flow data obtained from the ESnet High-touch platform to conduct intelligent subnet identification, subsequently training machine learning models on identified candidate subnets. University of Nevada Reno, HPC and Networking lab August 2023 - May 2023 Graduate Research Assistant

• Implemented In-Network Caching Assisted Error Recovery For File Transfers by exploiting hardware Intel Tofino Programmable switches.

• Responsible for implementation of P4 programs, compilation of the p4 programs and deployment on hardware switches.

• Utilizing P4 for the retrieval and modification of incoming data to function as caches information within network registers, mirroring, followed by the analysis of the processed data.

• Define standards and processes for the network automation;

• Responsible for designing, building and maintaining robust and scalable network automation architectures and solutions in P4 switch(EdgeCore);

• Design and build network automation solution for provisioning and data collection processes;

• Developing automation solutions through the implementation of Docker, involving the deployment of servers as programmable switches using Docker technology.

• Supported day-to-day operation, maintenance of corporate and production networks, including LAN/WAN, wireless, and MPLS platforms

Designed a highly scalable programmable network on Edge-Core DCS800 . This architecture fully automates the processes of caching in the network.

Implemented solutions for network wide configuration backup, change detection, mirroring and troubleshooting Seoul National University, Republic of Korea August 2019 – July, 2021 Network Engineer

• Implemented a data mining project named "leveraging node neighborhoods for bot detection in social graphs" which used Python pandas and matplotlib libraries.

• Implemented FTL (Flash Translation Layer) for SSD storage and Data compression FTL.

• Contributed SSD storage optimization and standardization projects

• Implemented PassSSD: A Ransomware-proof SSD Using Fine-Grained IO Whitelisting on Linux File System by exploiting ebpf technology.

CERTIFICATIONS

Intel Connectivity Academy Courses : ICA-1111-Introduction to P4 Language and P4Studio SDE Workflow, ICA-1131-Introduction to P4 Studio SDE, ICA-1141-Introduction to Tofino ASIC Architecture, ICA-1112-Advanced Parsing and Checksums, ICA-1113-Stateful Objects and Non-standard IP processing, ICA-1121-Working with multiple, Destination:Multicast, LAG and ECMP, ICA-1132-Barefoot Runtime Interface and PTF(Packet Test Framework).ICA-1122-Mirroring, Resubmit and Recirculation. ICA-1123-Simple L2 Data Plane. ICA-1142-Optimizing P4 for Tofino. EDUCATION

Ph.D. in Computer Science and Engineering - University of Texas, Arlington • Arlington, Texas • Planning to graduate in June 2025.

Ph.D. in Computer Science and Engineering - University of Nevada, Reno • Reno, Nevada • Planning to graduate in June 2024 GPA: 3.82.

Master of Computer Science and Engineering - Seoul National University • Seoul, Republic of Korea • Graduated in July 2021 with GPA: 3.85

Bachelor of Computer Science and Engineering - Major in Computer Engineer • Oguzkhan Technological University, Ashgabat • Ashgabat • GPA: 4.0 Technical Skills: cloud architect, Linux, eBPF, Scapy, Programmable switches(P4), Beautiful Soup, Selenium, Docker

Networking: LAN, WAN, Cloud Computing, Wireshark/TCP View packet analysis, DNS, WHOIS, TCP/IP & OSI Layer, VOIP, VMWare, CentOS, PowerShell, VPN. Security: Wireshark, SSL, DLP, Splunk, Kali Linux, Linux Command Line Tools, Proxy Policies, IT Security, NetFlow

Operating Systems: Windows Server, Linux, Windows, IoS Programming Languages: Python(Advanced(Scapy, Matplotplob)), Java, C

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