As a results-focused Software Developer with a strong background in web application
development
and testing, I am dedicated to delivering high-quality solutions. I firmly believe in the power of
Test-Driven
Development to create robust and user-friendly applications that meet and exceed client expectations.
With a wealth of experience in promoting and executing object-oriented approaches to real-time software
development, I am well-versed in Agile and Scrum environments, ensuring efficient collaboration
and timely
project delivery. My critical thinking skills and meticulous attention to detail enable me to identify and
resolve complex issues, ensuring the development of reliable and scalable software solutions.
• Underwent the LEAP training program for Full Stack Engineering spanning 4 months
• Developed web-apps using Angular UI framework and Node.JS while closely working with
Business, UI/UX and
Content teams
• Worked with Agile & DevOps methodologies and development best practices to enhance product
development
• Conducted pre-release activities and collaborated with product owners to select ambitious, but
realistic
coding milestones on software development
• Managed the CI/CD Pipelines via the Jenkins tool
• Worked on several POCs based on Angular, NodeJS & Java to enhance business
capabilities and improve
productivity
• Worked on the complete Angular front-end part of a web-app from scratch as well as integrated it
with a
Node.JS backend
• Deployed the project on a cloud VM instance and ran a Jenkins job to automate pulling data
from various
APIs
Current GPA: 3.74
Relevant Coursework:
• Design and Analysis of Algorithms
• Advanced Software Paradigms
• Computer Architecture II
• Introduction to Big Data and Analytics
• Object Oriented Design
• Machine Learning
• Design of Human Computer Interface
• Mobile App Development
• Cloud Computing
• Database Systems II
GPA: 7.26
• I designed and developed FoodSaver, a MEAN stack app for Design of Human-Computer
Interaction class
• Connects underprivileged individuals with surplus food from local restaurants
• Implements design principles and coding best practices
• Separate portals for Users and Restaurants with secure constraints
• This project helped solidify my proficiency in MongoDB, Express.js,
Angular, and Node.js
• Showcases commitment to social impact and accessible design
• A novel Front-end Application to find lyrics for songs and save snippets
• Built using Angular
• Strengthened my proficiency in working with Angular, HTML, CSS,
TypeScript and APIs fueled by creativity
• Leveraged open source APIs such as the Spotify API and Lyrics.ovh API
• Completed an Android app project for the Mobile App Development course using
Java, XML
• Facilitates GW students in discovering and offering services at customizable rates
• Prioritized user-friendly design, and implementing real-time availability
• Includes features like Authentication, Authorization and CRUD
operations for listings
• I successfully completed 3 major course projects built as a requirement of the CSCI 6444
Introduction to Big Data and Analytics course during my Master's
• Topics for the projects include Graph Analytics, Clustering &
Classification, and Text Analytics
• Solidified my understanding & proficiency in Data Analytics using R and R Studio
• A term paper on "Scalable Graph Clustering for Community Detection" along with these
projects further helped the understanding of Data Analytics in a Big Data context
• I successfully completed a comprehensive Udemy course titled "Angular & NodeJS - The MEAN
Stack
Guide"
• Throughout the course, I developed a full stack posts webapp project using the MEAN stack
(MongoDB, Express.js, Angular, Node.js)
• By leveraging Angular for the frontend and NodeJS with ExpressJS for the
backend, I built a
robust and scalable web application complete with appropriate error handling,
authentication and
authorization
• Completed an Android app project for the Advanced Software Paradigms course
using
Kotlin, XML
• Quiz application to act as a classroom resource for professors and students
• Features like Authentication, separate portals for Professors and Students along
with timed quizzes having shuffled questions with each quiz linked to a course
• Worked on a Sentiment Analysis project as a course deliverable for CSCI 6364
Machine Learning course
• Several Natural Language Processing and Analytical techniques were used
• Sentiment Analysis using existing models, trained TextBlob model, VADER
model's accuracy on a pre-labeled dataset, supplemented by visualizing
distributions of data
• This project helped strengthen my skills in using machine learning and NLP
techniques
• Completed 2 front-end projects - AirThin Notes and AirThin Currency Converter
• Built using Angular, HTML, CSS, Typescript and demonstrates
LocalStorage manipulation along with use of
APIs to create functional web-apps for various purposes