Name: Doddipatla Vivekananda Varma
Profile: Progammer/Full-stack Developer
Email: varmavivek12@gmail.com
Phone: +91 7299826058
Skill
Python 90%An enthusiastic professional seeking a challenging and rewarding career opportunity to fully utilize my skills, while making a significant contribution to the success of the company.
A professional career around 4 years of experience in coding, design, development and implementation of new features in web UI & Platform end. Experience in all phases of software development lifecycle from requirement gathering, document preparation, coding, testing and release. Little exposure on OpenStack cloud env. Collaborated with developers and product owners to stay current on product features and intended functionality. Having basic knowledge on understanding the AWS cloud.
Experience of working at both client and vendor organizations, resulting in enriched vision for the projects and skillful ability to understand the client and vendor expectations to drive projects towards success.
Always feels cherish while working on development stuff.
The IE 1000 Series Switches provide an easy transformation from the legacy factory to digital solution. For machine builders and Machine-To-Machine (M2M) solutions, it is an attractive entry level product as a GUI-based, lightly managed switch. Developing software front-end using HTML, JavaScript, JSON RPC and integrating backend which was written in C using Data structures and Python(PNP). Rapid at RCA and fix the customer issues with optimistic solution, most used technologies are C, JavaScript, Python. Implemented IPv6 accessibility to switch, using Data Structure in C, HTML, JavaScript technologies on classic IOS(Cisco proprietary) platforms. Played a key role for the successful completion of 1.9.0, 1.9.1 release for IE1000.
The Ultra Services Platform (USP) is a 5G-ready virtual mobility network platform that provides a robust and highly scalable architecture that can quickly deploy mobility services across a distributed network in a virtualized environment Worked on RCM (Redundancy Configuration Management), which involves in automating services to trigger config push using pyATS framework. Automated many scripts which includes different kinds of switchover on UserPlanes, RCM vm’s, High Availablity (HA) on RCM and Kubernetes pod reloads etc. It is developed and deployed on Open Stack which was IaaS. One of the client was TMobile.
UCS Server Diagnostics Utility (SDU) is a bootable image based on a 64-bit Linux kernel and can be used to perform diagnostics on Cisco rack servers. It is designed to run on one server at a time. You can perform the following tasks: View server inventory, Perform interactive offline diagnostics, View server health and logs. In this project, played a crucial role in development activites like enhancing the existing tools, Planned and devolped new framework SEL-Parsing and integrating to project to identify the peripheral issues. Owner of the source code from AMI side, having end-to-end exposure on source-code includes Yocto build env, Python, JS, Shell Script. Still in run...
Companies rendered an professional env and real time challenges.
Joined Wipro in 2018, post UG in campus placements. Wipro introduced an professional platform for my career.
Tenure (2018 - 2021)
Joined AMI in 2021, after completion of 3.6 years in wipro planned to move on and explore more technologies & work culture.
Tenure (2021 - Present)
3
Projects Worked4
YEARS OF EXPERIENCE1
TOTAL CLIENTS (CISCO)Apart from high priority engaged works to the companies, I used to spend lot of time in exploring booming technologies and experimenting.
Did a lot of research on this framework, developed few small-scale applications with the gained knowledge. Implemented API using Django rest framework. All these are available in my GIT hub profile.
Git-hub profile - GitHub
I started this course in multiple platforms, exploring more in Coursera, Udemy to accomplish and understand it in a way better. Currently I have basic to intermediate knowledge on ML on how to design a model and predict the data based on Supervised Learning (Linear/Quadratic Regression).
Apart from exploring the above things, i have better hands-on programming knowledge which can be aided in projects to optimise the code. Having badges and points in HackerRank & LeetCode platforms. (Below are the links)
HackerRank!
LeetCode!