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IGLxVerma/README.md

Hello

profile views followers stars

"Building scalable solutions, one commit at a time"

Connect with me 🀝

Β  Β 

🧭 What I Do

I develop scalable cloud solutions and microservices at AWS.
My focus: system design, cloud architecture, full-stack development, and building reliable services.

πŸ‘©β€πŸ’» About Me

const ananyaVerma = {
  name: "Ananya Verma",
  role: "Software Development Engineer @ AWS",
  location: "Hyderabad, India",
  education: {
    degree: "B.Tech in Computer Science and Engineering",
    institution: "IIITDM Jabalpur",
    cgpa: 8.07,
    year: "2019 - 2023",
  },

  currentWork: {
    company: "Amazon Web Services (AWS)",
    position: "Software Development Engineer",
    focus: ["AWS Graviton", "System Design", "Microservices"],
    since: "July 2023",
  },

  techStack: {
    languages: ["Java", "Python", "JavaScript", "C++", "SQL"],
    frameworks: ["Spring Boot", "React.js"],
    cloud: ["AWS (EC2, S3, Lambda)"],
    tools: ["Docker", "Kubernetes", "Git", "Jenkins"],
  },

  achievements: [
    "Developed automated test suite with 100% coverage",
    "Reduced manual testing effort by 75%",
    "Built workflow automation tool reducing task time by 80%",
  ],

  workExperience() {
    return [
      "Software Development Engineer @ AWS (July 2023 - Present)",
      "SDE Intern @ AWS (May 2022 - July 2022)",
      "SDE Intern @ Adobe (May 2021 - July 2021)",
    ];
  },
};

οΏ½ Professional Experience

Software Development Engineer - Amazon Web Services (AWS)

July 2023 - Present

  • Developing and maintaining core services for AWS Graviton processors
  • Implementing features to enhance customer experience and system reliability
  • Collaborating with cross-functional teams to deliver high-quality solutions

Software Development Engineer Intern - AWS

May 2022 - July 2022

  • Designed and implemented automated test suite for 40+ test cases
  • Achieved 100% test coverage for core functionality
  • Reduced manual testing effort by 75%

Software Development Engineer Intern - Adobe

May 2021 - July 2021

  • Developed workflow automation tool reducing task completion time by 80%
  • Implemented RESTful APIs and system integrations
  • Created comprehensive technical documentation

πŸŽ“ Education

Indian Institute of Information Technology, Design and Manufacturing, Jabalpur

  • B.Tech in Computer Science and Engineering
  • CGPA: 8.07 (2019 - 2023)

πŸ› οΈ Tech Stack & Tools

Languages

Frameworks & Libraries

Cloud & DevOps

AWS Services

πŸš€ Featured Projects

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πŸ“‚ Key Projects

πŸš— UBER Clone

  • Full-stack ride-sharing application built with modern web technologies
  • Real-time location tracking and ride matching
  • Payment integration and user authentication

πŸ—³οΈ Voting DApp

  • Decentralized voting application built on blockchain
  • Secure and transparent voting mechanism
  • Smart contract implementation for vote management

πŸ” Password Generator

  • Secure password generation tool with customizable options
  • Random password generation with various character sets
  • User-friendly interface with copy-to-clipboard functionality

πŸ’¬ Chat Application

  • Real-time messaging application
  • WebSocket-based communication
  • User authentication and message persistence

βš™οΈ AWS Graviton Service Enhancement

  • Implemented critical features for AWS Graviton processor service
  • Improved system reliability and performance metrics
  • Led cross-team integration efforts

πŸ§ͺ Automated Testing Framework

  • Built comprehensive test automation suite for 40+ test cases
  • Achieved 100% test coverage for core functionality
  • Reduced manual testing time by 75%

πŸ€– Workflow Automation Tool

  • Developed internal automation tool for Adobe
  • Reduced task completion time by 80%
  • RESTful API integration with existing systems

οΏ½ GitHub Statistics

πŸ“ˆ Contribution Graph

Contribution Graph

Tease Teasing

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  1. AI-Resume-Matcher-With-Feedback AI-Resume-Matcher-With-Feedback Public

    An AI-powered resume screening system that classifies resumes into job categories using NLP and machine learning, with a recruiter feedback loop to improve predictions over time.

    Jupyter Notebook