Computer Science Graduate with a DevOps mindset. Passion for automation and designing cloud architecture. Understands the melding of operations and development to quickly deliver code to customers.
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Experience
Site Reliability Engineering Intern, Red Hat, June 2020 – Aug 2020
• Develop an application to generate SLO reports by gathering data from Prometheus monitored OSD clusters
• Increase the efficiency in retrieving AWS monthly costs for OSD clusters by 95%
• Participate in regular on-call/rotation shifts for supporting critical issues as a part of Global SRE team
• Spin up OpenShift Dedicated clusters over AWS following the Business Unit.
• Contribute and revise Standard Operating Procedures (SOP) for handling critical alerts.
Full Stack Software Engineer Intern, Lovingly, Sept 2019 - Dec 2019
• Automate the creation and destruction of Git branch-based QA environments using Terraform
• Integrate Infrastructure automation and Test automation into CI/CD pipelines using Circle CI
• Replicate non-production databases to mirror the production environment using Sequel Pro
• Monitor metrics from EC2, S3 and RDS logs by creating dashboards using ELK stack
• Reduce the time taken to spin up a QA environment by 80%
Software Developer Intern, PDQ Softech Ltd, May 2018 - July 2018
• Involve in software development using Java to enhance existing code using Agile methodology
• Work on MongoDB to store customer’s data and deal with day-to-day issues
• Maintain CI/CD pipeline using Git, Jenkins, and Docker
• Experience in debugging logs by analyzing issues during application downtime
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Projects
Hotel Management System Using AWS
• Develop a web application using Java and used PL/SQL to create, delete and update user data
• Launch EC2 instance to manage server and created S3 bucket to store log files
• Perform functional API testing using Postman
Technologies used: JSP, Java, MySQL, EC2, S3, CloudWatch
Uber-like Transport System
• Demonstrate POC on designing ER diagram while normalizing the database
• Create DB tables and stored procedures, triggers to meet requirements
Technologies used: SQL Server Management Studio, MS Visio
Opinion Spam Detection Using Machine Learning
• Scrape data from Yelp website using the JSOUP library storing it in CSV format
• Perform data cleaning and pre-processing techniques on the obtained dataset
• Train the dataset using Multi Layered Perceptron and integrated results with Weka API
Technologies used: Java, Weka, Star UML