My Experience

Software Development Engineer Intern

Amazon Web Services, Inc., East Palo Alto, CA

June 2025 – September 2025

  • Built an automated end-to-end deployment tracking and Slack notification system to monitor PADB deployments across 35+ regions.
  • Developed production-ready infrastructure with AWS CDK for automated provisioning (SQS, Lambda, VPC, cross-account IAM roles).
  • Integrated existing deployment scripts with SQS to capture deployment metadata for QuickSight dashboard and automated Slack messages.
  • Designed a QuickSight dashboard with key metrics enabling stakeholders to easily analyze deployment data and make informed decisions.
  • Automated Slack messages for deployment updates to stakeholders, saving 8 days annually for developers and enabling real-time visibility.

Software Engineer Intern

TechnoGuide InfoSoft Pvt. Ltd., India

Dec 2023 – April 2024

  • Developed a Smart HR mobile app with Flutter and Firebase, saving $1M annually by automating onboarding for 1,000+ users.
  • Enhanced app performance and UI with third-party Flutter libraries, boosting load speed by 28% and reducing resource usage by 23%.
  • Built Attendance System with QR code and geolocation, reducing errors by 40% and increasing efficiency by 30% for 500+ daily check-ins.
  • Leveraged Firebase Cloud Messaging for real-time notifications and authentication, increasing user engagement by 20%.
  • Developed a Project and Task Management System, improving task tracking by 35% and reducing completion time by 20%.

Software Engineer Intern

TatvaSoft Pvt. Ltd., India

May 2023 – June 2023

  • Developed a full-stack bookstore web application using ReactJS and NodeJS, managing catalog of 1,500+ books and supporting 200 daily users.
  • Designed and implemented 10+ RESTful APIs to manage data flow, reducing response time by 22% and improving overall system efficiency.
  • Optimized application performance, achieving 42% faster load times & 23% lower memory usage through efficient state management.
  • Built reusable React components, improving development speed by 25% and reducing bug resolution time by 15%.

Data Science Intern

Pooja Investments Pvt. Ltd., India

Oct 2022 – April 2023

  • Spearheaded data cleaning, preprocessing, and EDA with Python, uncovering key insights that boosted investment strategy accuracy by 20%.
  • Built predictive models to forecast market trends, increasing prediction accuracy by 17% for portfolio management.
  • Applied ML algorithms (regression, classification, clustering) to historical financial data, improving market prediction accuracy by 18%.
  • Created dashboards in Tableau and Power BI with advanced data visualizations, enhancing decision-making speed by 33% for stakeholders.