About

Hi, I'm Aalap.

  • I'm a 3rd year CS student at UT Austin and a full stack developer passionate about creating impactful software.
  • In the past, I've worked at Capital One and Olympus as a software engineer intern.
  • On the side, you can find me tinkering around and building my own sofware projects, which include websites developed for clients, iOS apps serving my hometown, and mini social networks.
  • I'm also a seasoned hackathon participant (10 and counting!) and thrive in environments involving fast paced innovation.

  • My Technology Stack

    Languages: Java, C, Python, C++, JavaScript, TypeScript, HTML, CSS, C#, Swift, Objective-C

    Frameworks: React, Node.js, Express, Angular, .NET, Ionic, Cordova, Hadoop

    DevOps: AWS, Azure, Linux

    Tools: MongoDB, Git, SQL


    Professional Certifications

    Amazon Web Services (AWS) Certified Cloud Practitioner

    Oracle Certified Associate, Java SE 8 Programmer

    Education

    Bachelor of Science in Computer Science

    Expected Graduation: May 2022

    My relevant coursework includes the following:
    • Data Structures
    • Discrete Mathematics
    • Computer Organization & Architecture
    • Principles of Computer Systems (Operating Systems)
    • Ethical Foundations of Computer Science
    • Algorithms

    Experience

    Software Engineer Intern // Capital One Jun 2020 - Aug 2020

    • Increased agent-customer interactions by 33% by creating a clickstream processing pipeline for Kafka and PostgreSQL.
    • Improved data collection rates for customer satisfaction by 24% by applying sentiment analysis to chats using VADER NLP.
    • Aggregated data for internal retrieval by developing a REST API using Spring Boot and Java and deploying to AWS EC2.
    • Spearheaded the creation of ranking-based metrics and visualizations for chat agents based on sentiment data.

    Software Engineer Intern // Olympus IMS May 2019 - Aug 2019

    • Migrated web applications to native mobile apps by developing iOS and Android apps using Objective-C and Java.
    • Implemented a continuous integration and delivery pipeline for mobile application deployment using Jenkins.
    • Achieved a 20% increase in daily platform users after deploying the applications to the internal cloud suite.

    Personal Projects

    Scrappy

    Python app that scans URLs of job boards and notifies the user via text message using Twilio API or email whenever there is a new listing containing a user defined keyword.
    View code: GitHub

    CreditChancer

    Web application that uses MongoDB, Express, Node.js, and Angular to show users their odds of credit card approval. Utilizes crowdsourced data and CCStack API to help users visualize where they stand on the approval spectrum for specific cards and allows them to contribute their own approval statistics.
    View code: GitHub

    DevLink

    Web application using Python and Flask that allows users to find and join side projects. Users can create accounts, create listings for projects they are pursuing, and access contact information for other creators to get in touch and potentially join projects.
    View code: GitHub

    Capitalize

    Angular web application created at the Capital One Software Engineering Summit Hackathon which allows users to receive customized vacation package itineraries by entering budget, number of travelers, and destination category preferences. Uses Node.js and Express as backend to get flight, food, and hotel data from Amadeus API and Yelp API.
    View code: GitHub

    NPS Kiosk

    React progressive web application using National Parks and Services API and Google Maps API to provide a kiosk- style portal for users to access all relevant recreational parks information based on search terms, park designations, and states.
    Use the app: NPS Kiosk

    Assess

    iOS application created at HackRice 8 utilizing Swift and ARKit to allow the user to scan a building and receive its public property data from Zillow API. Utilizes Google Maps API to return latitude, longitude, and GeoAngle to recognize and distinguish buildings.
    Project overview: Devpost

    STEMBuds Games

    iOS math games application written in Swift created for the STEMBuds after school program. Allows students enrolled in the program to practice the math concepts taught to them through a series of games involving positive reinforcement features such as medals and high scores. Available for download on the App Store.
    Download the app: App Store

    PhoneDown

    iOS application written in Swift created at the Shrewsbury Hackathon for the purpose of helping users use their mobile devices less. Actively tracks and logs system procedures such as exiting out of the app, locking the device, as well as staying within the app to let the user know when they have reached their mindfulness goal. 1st prize winning project at the hackathon.
    View code: GitHub

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