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General Information

Full Name Prabakar Chettiyar
Date of Birth 11th October 1996
Languages English, Tamil, Hindi, Telugu

Education

  • 2022-2023
    M.S. Computer Science
    Arizona State University
    • CGPA 4/4
  • 2014-2018
    B.Tech. Computer Science and Engineering
    National Institute of Technology, Tiruchirappalli
    • CGPA 7.03/10

Professional Experience

  • 2023
    Software Development Engineer Intern
    Amazon.com Inc, Seattle, Washington
    • Engineered a solution that slashed the time required for page owners to upload and launch page configurations in the books team from multiple weeks to mere minutes using the BRIXLayer platform.
    • Implemented front-end web app in React, and back-end changes in Spring Boot to facilitate the migration from S3 to AWS App Config, providing validation, allowing edits and rollbacks of the page configs.
  • 2018-2021
    Software Engineer
    Fidelity Investments, Chennai, India
    • Developed Derivatives and Collateral Trade processing software for mutual fund services middle office operations using Spring Boot and AngularJS, ensuring real-time updates through ActiveMQ queues managing hundreds of trades per minute during market hours.
    • Provided swift resolutions to live production issues, performing RCA through Datadog, minimizing system downtime.
    • Facilitated application deployment to AWS cloud leveraging Jenkins CI/CD pipelines and Docker, enhancing the efficiency and reliability of processes.
    • Managed multiple software releases catering to the diverse trade types which augmented the system’s capabilities and boosted the company’s revenue.
  • 2017
    Software Engineer Intern
    Fidelity Investments, Chennai, India
    • Launched a user-centric real-time feedback system using Angular, enhancing communication and feedback processes between associates and senior management.
    • Collaborated effectively with diverse stakeholders in building robust enterprise software and coordinated between different teams.

Relevant Projects

  • 2023
    Medical Imaging, CSE591 Course Project
    • Colonoscopy Polyp Segmentation - Utilized UnetPlusPlus with ResNet-34 on ASU-Mayo Dataset to segment and localize polyps achieving Dice score and IoU score of 0.828 and 0.823 respectively.
    • Chest X-ray Disease Classification - Leveraged Swin Transformer on NIH Chest X-ray dataset for multi-label classification of 14 thoracic diseases reaching ~95% accuracy for most labels and improving AUC to 0.78 after data augmentation.
  • 2022
    Sentiment Analysis, Course Project
    • Designed a user-friendly web application for real-time sentiment analysis of tweets into positive, negative, and neutral, using Deep Learning and NLP, employing Flask for backend operations.
    • Implemented and compared various deep learning models including CNN, RNN, and BERT, achieving significant accuracy improvements with BERT. Conducted comprehensive data preprocessing and analysis using SemEval-2017 dataset.
  • 2017
    SportsFete'17 Android app, Club Project
    • Founded and developed for the first time in college history, an Android application that delivered real-time scores and commentary for the annual inter-departmental sports competition, built entirely from scratch.
    • Integrated Firebase libraries provided by Google for caching and real-time database operations.

Awards and Roles of Responsibility

  • 2015-2018
    Head of App development, Spider Club, NIT Trichy
    • Oversaw the complete life cycle of mobile and web applications, including initial concept, requirements gathering, design, development, testing, and deployment, leading to the successful launch of multiple projects that garnered positive user feedback.
  • 2016
    Hackathons- Finalists
    • Shaastra16-Annual National level Tech. Festival, IIT Madras - Developed a resource allocation app for disaster management.
    • 3rd Place, Ingenius Hackathon, Bangalore 2016- Built an online debating app.