Resume

1. RUSHABHRAJ DHARMENDRARAJ SINGHAVI
1530 Varsity Dr Raleigh NC 27606
Phone: +1 (919)-272-9674 | Email: rdsingha@ncsu.edu | LinkedIn: /in/rushabhrajsinghavi
EDUCATIONAL QUALIFICATIONS
North Carolina State University December 2018
Masters of Science in Computer Systems Networking and Telecommunications.
Relevant Courses: Internet Protocols, Computer and Network Security, Switched Network Management, Internet of
Things: Applications and Implementations, Computer Networks, Advanced IP, Operating Systems, IOT Analytics.
KJ Somaiya College of Engineering (Mumbai University) May 2017
Bachelors of Engineering in Electronics and Telecommunications.
TECHNICAL SKILLS AND CERTIFICATIONS
• Programming Languages: C, Python, Java, HTML.
• Networking Technologies: TCP/IP Suite, OSPF, BGP, SDN, IPv4/v6, VLAN, VPN, IPSec, SSL/TLS, Firewalls, VoIP.
• Applications and Platforms: Wireshark, GNS3, Putty, Eclipse, VMware, AWS Console, IBM Bluemix.
• Hardware: Arduino, Raspberry Pi 3, FRDM KL25Z, Wi-Fi, BLE.
• Summer Industrial Training in Embedded Systems and IoT by Eduvance.
• ARM university program basic level certificate in Embedded systems design by Eduvance.
• Cypress Semiconductors University Alliance certificate in Internet of Things (IoT).
• Trained for CCNA Routing/Switching, CCNA Security and AWS Developer Associate.
ACADEMIC AND CO-CURRICULAR PROJECTS
Home Automation Transcriber using Amazon Alexa (HTML, IBM Bluemix, MQTT, Python, JavaScript, MySQL)
• IBM cloud server running Node-RED for MQTT connections between the Raspberry Pi, WebApp, and the database.
• MySQL database of all the customized commands and routines for the Alexa to execute was deployed on the WebApp.
Analysing the attacks on different MAC protocols used in Wireless Sensor Networks (OMNet++)
• Analyzed the behavior of different types of MAC protocols used in WSNs in customized jamming environments.
• Environment was built using OMNeT++ simulator and different performance metrics measured.
Bandwidth optimization over WAN networks (Socket Programming, Python)
• Saved bandwidth usage by almost 80% using data de-duplication.
• Evaluated our system for unencrypted text file, unencrypted video file, encrypted text file and encrypted video file.
Performance Analysis of various Encryption Algorithms (Java)
• Encrypted and decrypted a given file using various encryption algorithm like AES, RSA, HMAC and digital signatures.
• Analysed their performance and observed that RSA was the slowest amongst all while HMAC was the fastest.
Analyzing Security Practices in the Erlang Ecosystem (Erlang, Elixir, Hex)
• Investigated Erlang libraries from Hex packets manager to validate secure programming.
• Level of security and dependency on most of the libraries was determined.
Visible Light Communication (Python, C)
• A TCP connection was established and reliability assured with the help of ACK and NAK messages between two clients.
• Data rate of 1Kbps was achieved transferring data between LED (Sender, interfaced with Raspberry Pi) and Photodiode
(Receiver, interfaced with Arduino Uno) on a smaller scale.
Door position(Open/Closed) classifications using Support Vector Machines (Python, IBM Cloud)
• Interfaced an Inertial Measurement Unit, having a 3-axis gyroscope and accelerometer, with Raspberry Pi to obtain data.
• SVM classifier trained using machine learning algorithms on IBM Cloud which was used to make a prediction on door’s
current position and show if it was opened or closed or partially opened or closed on the app.
Wireless Sensor Network with IOT Logging (C, Phant Server)
• Stored the values received by WSN co-ordinator from multiple discrete nodes using NRF24L01P transceiver on Cloud
Phant server using ESP8266 Wi-Fi module.
EXTRA-CURRICULAR ACTIVITIES
• Badminton, Cooking.