Electrical Engineering Network

APEKSHA LANJILE

(***) *** - **** ac10hh@r.postjobfree.com https://github.com/apekshalanjile https://www.linkedin.com/in/apekshalanjile EDUCATION

• Master of Science in Electrical Engineering focusing on Computer Networking August 2015 - August 2017 University of Maryland Baltimore County GPA - 3.4 Courses: Networking Technologies, Wave Theory and Antenna, Wireless Sensor Networks, Principles of Communication Networks

• Bachelor of Engineering in Electronics and Telecommunication June 2010 - May 2014 University of Pune, India GPA - 3.6

Courses: Computer Networks, Digital Communications, Wave Theory and Antenna SKILLS

• Routing and Switching: RIP v1/v2, OSPF, EIGRP, BGP, ARP, STP, VLANs, TCP/IP, UDP, IPv4/6, SNMP, NAT, PAT, ACLs, MPLS, PPP, VPN, Software Defined Networks, Firewall filtering, Network Function Virtualization

• Infrastructure Services: DNS, HTTP, DHCP, SMTP, FTP, TFTP, Telnet, SSH, Ansible, Terraform, Docker

• Virtualization: VMWare ESXi, VSphere, Oracle VirtualBox, QEMU, Hypervisors, AWS

• Storage: iSCSI, NFS, Storage Area Networks, Load Balancing

• Simulation Tools: GNS3, Wireshark, ns-2, Cisco Packet tracer, SecureCRT, MATLAB

• Languages: C++, Java, SQL, Python, Bash scripting

• Platforms: Windows, Linux, Macintosh

CERTIFICATIONS AND PUBLICATIONS

• Juniper JNCIA Certified

• CCNA (Routing and Switching)

• ‘Patient Monitoring and Record Management using Sensors and Zigbee’ (IJSRET Paper no - 120519) WORK EXPERIENCE

Intern KPIT Cummins Infosystems (IN) January 2015 - July 2015

• Implemented two projects in Qt-QML based on Control Area Network architecture for infotainment device UI screen

• Elucidated documentation for Requirement Analysis and Design of the project with Continental Automotive

• Completed 200 hours of training to understand design concepts of front-end development

• Developed UI using QML and functional logic with C++ and Python on Linux platform in 8 weeks ACADEMIC PROJECTS

Pipeline leak detection system using Machine Learning (Thesis) May 2016 - Present

• Analyzed a water pipeline system with wireless sensor networks to detect leakages in it using MATLAB

• Implemented signal filtering and SVM machine learning techniques to achieve 86% accuracy of leak detection

• Aggregated data in LABVIEW with PCB accelerometer 352C33 (vibrations), Hykron ultrasonic sensor (sound) and flowmeter (flow) to model water flow characteristics Wordpress Website Deployment on AWS October 2016 - December 2016

• Installed a WordPress website on AWS using Terraform, Ansible and Docker to understand AWS cloud technology

• Created a fully functional AWS VPC infrastructure with Terraform which integrates EC2, RDS, elastic load balancer

• Created a Route53 DNS entry for the website through Ansible Calculation of Network capacity and Delay with Python August 2015 - December 2015

• Designed and simulated a mobile station to web server link in GNS3 for file transfer over TCP/IP

• Developed a Python script to calculate Packet Transmission Rate (95%) and average packet delay (100ms)

• Presented in a team of 3 the various topology design approaches and routing/switching loop avoidance techniques Simulation of Layer 3 Network Topology using GNS3 April 2017 - May 2017

• Configured a 17-subnet Layer-3 network of 9 routers to ensure end to end connectivity

• Connected disjoint OSPF areas by configuring BGP protocol across different Autonomous Systems

• Assessed the hop to hop connectivity with ping and traceroute utility to verify traffic loads Packet Capture of Virtual Machine Network using Wireshark January 2017 - March 2017

• Configured a network of 3 VM instances and analyzed the data packets navigating through the network with Wireshark

• Initialized Windows and Linux Virtual machine instances using Oracle VirtualBox and VmWare Fusion hypervisors

• Analyzed the data traffic flow rate and network connectivity by embedding Wireshark into the GNS3 topology

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