Intern SQA, Network Security, QA Engineer, Network Programmer

ANIKET KUMAR

408-***-****/******.*****@****.***/Linkedin:www.linkedin.com/in/aniketkumarsjsu

EDUCATION:

MS in Computer Engineering (Networking Specialization) (Graduation Expected by May 2017) San Jose State University, San Jose, CA

Coursework: Network Security, Network Programming and Applications, Computer Network Design, Data Structures and Object Oriented Programming, System Software, Advanced Operating Systems B.Tech in Electronics and Communication (June 2014) Uttar Pradesh Technical University, India

WORK EXPERIENCE:

SQA Intern at NetScout Systems Inc.: (July 2016 - Present) Products: Infinistream and nGeniusOne

Build Validation: unit testing, release testing: Running ASI/ASR Automation Suite for new build release

Data Validation: Analyzing consistency of results and reporting results

Bug reporting: Error and bug reporting with JIRA; Troubleshooting errors

Automation: Automating individual tasks using Pytomation to improve performance

Test bed Enhancement: Improving the existing test bed by trying new tools and configurations COMPETENCIES:

Programming Languages: C, C++, Python

Network Security: Penetration Testing, Network Penetration, Source Code Review, Threat Analysis Security Tools: Nmap, Nslookup, Nessus, Netcat, dSniff, Traceroute, Hping3, JTR, Kali Linux 2016.2 Networking Technologies and Tools: Firewall, Socket Programming, Socket API, Multi-threaded programming, SDN Controllers: POX, Floodlight, Mininet, Wireshark, Putty, iptables Networking Protocols: TCP/IP, Ethernet, ARP, SNMP, UDP, IPv4, IPv6, TCP, HTTP, DNS, DHCP, FTP, SMTP, SSL, SSH, 802.11, ICMP, RIP, OSPF, NAT, VLAN, OpenFlow, HTTPS OS & Other Tools: Ubuntu 16.04 LTS, macOS X 10.12.3, VMware Fusion, VMware Workstation, MySQL ACADEMIC PROJECTS:

Masters Project: Prognosis for DDoS (August 2016 - Present)

Technologies Used: OpenStack, LXD Containers, Conjure-up, Scapy, Python Scikit-Learn, Python

Executing a real world DDoS Attack in a simulated environment on OpenStack

Create a Model using Machine Learning and its Algorithms to predict DDoS attacks through traffic filtering

DDoS Attack generates training data set which is fed directly into machine learning model SDN: Load Balancing (Oct 2015 - Dec 2015)

Technologies Used: Python, POX SDN Controller, Mininet, Wireshark, PyCharm, OpenFlow

Open Source Code Analysis of POX Controller

Implemented Weighted Round Robin Algorithm by modifying original controller source code Custom UNIX Shell (Oct 2015 – Dec 2015)

Technologies Used: C, Linux: Ubuntu 14.04 LTS

Created a custom UNIX shell in C

Implemented basic built ins like change directory, help, exit and history feature Voice over Wireless Ad-Hoc Networks (Dec 2015 – March 2016)

Technologies Used: Python, SIP Libraries, Asterisk, Wireshark

Developed a client side app

Used python and open source SIP libraries to perform basic call functionality

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