Pushpendra Kumar Mishra

Working at Criterion Networks
Studied at Manipal University Jaipur
Living in India

About

Experienced Software Engineer with a history of working in the computer networking industry. Skilled in Python, web development, data structures and system designs. A curious programmer who wants to invent new solutions, optimize and automate highly complex problems.

Experience
As a software engineer there were several projects owned by me ->

1. Monitoring/Operations Web Application tool -
● Developed an end-to-end Monitoring/Operations tool to monitor all GCP clusters, users, cluster usage in an efficient
way using Python and Django framework. This Web application had all the dynamic UI aspects with AJAX, Rest
calls integrated with GCP scheduling and back-end APIs and ORM models for CRUD operations on the database.
● It included several automated features and tools like creation and management of users, dashboards to show performance of any actions which helped in minimum usage of cloud and monitor all the day to day tasks in the SD-Cloud platform.
2. Docker and Containers -
● Containerized the several web apps and developed a new Continuous Integration (CI) and Continuous Deployment (CD) pipeline for stable and faster releases by integrating bitbucket.
● Along with managed compose files to control different services at any runtime stage environment which helps to get started with an application with a single command.
3. Webvirt, a libvirt-based Web interface (reference open source link -> https://github.com/retspen/webvirtmgr) -
● Developed and modified an end-to-end open source application to stress out the solution and network engineers who perform manual commands and manual tasks to bring up any big network topologies with nested virtualization over host VMs and clusters. The application manages all the devices over the KVM hypervisor automatically in a few minutes.
● Containerized this web app for easy deployment and to make it secure from the external customers exploiting the cloud clusters
4. Service Lifecycle project using React, Google Cloud and Django -
● Creating a react application with both front-end and backend (full stack) to automate the service lifecycle of the company’s products by integrating all the segregated parts together.
● The major components included are :
❖ Dashboards (for quick and brief view of status and approvals), CMS (Content management system), Notifications (for real time status and update), Activity Logs with filters, Optimized Multipart large image uploads (> 1GB) to Google Cloud Storage with pause and resume for virtual machines, Synchronization with the Designer(a company product) network topologies running on the solution clusters, JWT token authentication system with role based access and SSO(Single Sign-On) etc.

Additional Experiences ->

● The company is a product based organization and has an enterprise architecture. Due to working closely with all types of team be it SRE, Network Solution engineers, QA, Management or Business and collaborating in various events like "Cisco Live", Webinars and management meetings, it has provided a good experience to understand the agile business requirements and take initiatives to own a project from end to end

Software Engineer Intern ->

Developed some of the end to end projects of web applications for solution and network engineers to simulate the network traffic for SD-WAN use cases using Flask and Django. Developed some of the advanced SD-WAN Learning labs with all network topologies and use cases to train network engineers using Linux and Cloud Infrastructure technologies.
Projects
1. AI based Feedback Analysis and Issue Detection System ->
● Created a project to get sentimental analysis from various data sources such as mailer list(email), database, surveys etc. to display a graphical and easy to visualize data for any Organization's support team.
● Since star ratings are not at all enough to gauge the impact of an application. Also it doesn't make any sense to explicitly ask customer for feedback to fill manually after each service. So to keep with rapid changing customer demands and competitions and to make user experience(UX) a pervasive and positive experience we (I and my friend) created a real time dashboard which uses Google Machine Learning and NLP APIs.
● It displays the analytics and graphs for the feedback and sentiment received for each service. It also displays the trending terms corresponding to a service which a user wrote to understand what part of the product have the most frequent issues
● It is still in later phases of development. The development work included parsing huge chunks of data with database caching used for optimization and making data structure by capturing text sentiments from various sources.
● Technology stack used were React, MySQL, Django, D3JS, Google NLP APIs

21 days ago - Translate

History is one of the most important part of learning. Understanding the history will help in prolonged grasp of concept and help to find more advanced solutions. #learning #science #engineering