Vaibhav Pande

• Working in Cloud Center of Excellence to provide org wide Cloud based solution to all ADP product teams
• Writing Cloud Formation and Terraform templates for automating AWS resource creation according to ADP standards and reduce large number of requests coming from internal teams

Working on various POC including ChatGPT capabilities in various contexts

• Worked on ADP portal which provides access to cloud services to all ADP teams
• Worked with architecture team closely for designing microservices
• Created unit testing framework and contributed at global level to increase code coverage
• Created end to end flows for AWS Account and VPC provisioning and eliminated all manual efforts required previously
• Tech Stack: Python, Pyunit, Splunk, AWS, Postgresql, Influx db

• Worked for 'Swayam' online learning platform governed by Ministry of Education, India available as Web application and mobile app(PWA)
• Application infrastructure cost was reduced from 25 lakhs to 10-15 lakhs per month, by moving to GCP cloud and optimizing the existing architecture
• Owned modules like Authentication, various assignment types like MCQ, Subjective, Programming Assignments, few dataflow jobs
• Guiding and training new project joiners as well as mentoring, tasking and reviewing work for reportees
• Strict code reviews and thorough testing of functionalities to improve end user experience
• Technology stack: Python 3.7, Flask, Webapp2(when app was on Python2), Javascript, Azure Auth, GCP services like datastore, cloud storage, dataflow jobs, Firebase etc

• Single handedly gathering and understanding prospect requirements for insurance related chatbot
• Designing and creating chatbot flow for chatbot using IBM Watson Assistant
• Continuous Demos and enhancements for customizing and improving user experience
• Technology stack: Node Js, IBM Watson Assistant, IBM Cloud Swayam

• Requirement gathering from senior stake holders for creating a Cloud Health Monitoring Web App Rovius Ops Manager
• Worked on different modules to show information about cloud entities such as CPU, memory, zone, and virtual machines to maintain the health of clouds
• Writing and enhancing APIs to improve API response time and overall end user experience
• Optimising elasticsearch configurations to handle huge amount of logs
• Shellscripts to gather cloud metrics like cpu usage, memory usage as input to telegraf which inserts data in Influx db)
• Scripts to setup rsyslog/syslog client on cloud elements using python modules like paramiko
• Logstash parsers to parse desired data from the logs in raw form
• Scripting Languages: Python 2.7, Angular 5, Shellscript
• Database: Elasticsearch- logs database, Influx db- metrics db, maria/mysql db - Ops manager db
• Containerization: Docker Log forwarders: Rsyslog service, Filebeat Log Parsers: Logstash

• Worked on 'bconnected tool' which creates platform for insurance agents to sell the policies to their probable customers
• Implementing enhancements for the platform in bconnected
• Monitoring and debugging issues using logs on server using various Linux commands
• Creating network diagram for documentation
• Technology stack: bconnected Platform based on java, Flex UI, MySQL, SVN, Splunk

BIOLASE-BRASS

• Identifying client requirements for developing Biolase-BRASS web application, to show statistics and surgical information crucial for dental surgery
• Used MVC pattern to implement end to end flow of the application
• Analyzing and implementing best Spring practices and maintaing code quality
• Writing unit test cases using JUnit
• Technology stack: Java6, Spring, Angular Js, Maven, SVN, SQL Management Server Studio