Manasa Suresh

WORK HISTORY

EDUCATION

ABOUT MANASA SURESH

Resume -> https://manasasuresh388.github.io/My-Profile/ I am currently a master\'s student in computer engineering at UOW. I had worked as a Software Developer at Ribbon Communications for 2.5 years. Here I have worked on session border controllers, sip protocol, Dockers and containers. I have even worked as a project intern at Huawei technologies on RF optimization- parameter optimization, Field optimization,VIL planning- ASP,ACP,Monte Carlo, Capacity Calculation, neighbor planning. I have worked as a research intern at Indian institute of Science where we developed a framework for optimize the signals using GNU Radio and FPGA implementation using lime SDR and blade RF. During my master’s degree, I successfully completed a computer networks course with A+ grade and implemented projects as below. Designed and implemented a small-scale network with multiple VLANs, effectively configuring VLANs on switches and accurately assigning ports to appropriate VLANs for optimized connectivity and secure isolation between VLANs. Enabled DHCP snooping on switches as a proactive security measure against rogue DHCP servers, configuring trusted and untrusted ports to monitor and prevent unauthorized DHCP responses, ensuring a reliable and secure network environment. Developed and understood a network scanning program utilizing Address Resolution Protocol (ARP) to efficiently retrieve MAC addresses of devices connected to a local network, facilitating effective network management and troubleshooting. We used network simulation tools such as Cisco Packet Tracer, wireshark. I even got an opportunity to learn about ECU communication Protocol analysis. I was given an chance to conduct analysis and comparison of various communication protocols commonly used in Automotive ECUs, including CAN(Controller Area Network), LIN(Local Interconnect Network). My primary interests lie in network domain, embedded systesms, software development, Cloud computing, Artificial Intelligence, Internet of things(IoT), Machine Learning etc. Looking forward to work with exciting projects.