I'm a graduate student at Indiana University Bloomington majoring in Computer Science graduating on 05/2021. I enjoy meeting new people and hearing new perspectives. Reach out if you want to talk to me about emerging tech, creating software products, or cricket.
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Experience
Accenture | Pune, India Application Development Analyst
February 2017 – July 2019
● Designed a web application to minimize the paper-based documentation for managing Insurance claims.
● Enhanced the user experience, which allowed the client to save a 30% cost during the process in record time.
● Tackled delivery of more than 10 sprints in an agile environment alongside 10+ team members.
● Minimized the maintenance cost and efforts by configuring the application to a centralized database and
Scraping traditional high maintenance database for transaction handling and worksheets created of daily cash
flow for the business customers of the bank.
● Engineered 5 Microservices based architectural Design which enforced the technical solutions for bank admins
to view/download/text/non-text reports which are organized by Scheduler, Web & Notification Modules.
● Automated the evaluation of manual test cases for the application and reduced the testing efforts by 40%.
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Projects
Weather Forecasting Distributed System | Course Project May 2020
● Cultivated Web application with 7 micro-services for predicting weather details of the region.
● Utilized the NEXRAD dataset & established communication between microservices with the RabbitMQ server.
● Dockerized the micro-services and deployed on a fault-tolerant CI/CD setup with the Jetstream environment.
● Carried out Vulnerability testing to Amplify the confidence in application with the help of Chaos Engineering.
System Calls & Shell Command For Synchronization | Course Project February 2020
● Created system calls and shell commands to achieve the
synchronization mechanism between threads and the stream processing systems in Xinu Operating System.
Cloud Map Reduce | Course Project December 2019
● Implemented the Map-Reduce framework from scratch to process big-data computations in a parallel environment using the distributed algorithms on cluster machines.
● Demonstrated the utilization of Google Cloud API efficiently to deploy Mappers, Reducers, and Master as micro-services on distributed t2-micro VMs.
● Deployed and maintained framework and improved the efficiency of Map-Reduce functions by 50%.
Part of Speech Tagging (POS) | Course Project November 2019
● Designed an algorithm to find POS tagging for each word in a sentence with multiple possible parts of speech tags using 3 different algorithms which are Bayes net, Viterbi algorithm, and MCMC.
Blind’s Eye | UG Project May 2016
● Led a team of four overseeing the development of an android application to serve visually impaired people in their daily routine by providing them the information about their surroundings through voice commands.
● Secured the best project award in the year 2016 under the domain ‘image processing and networking’ in university-level project competition “Fine-Pro”