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Ramesh Kuntigorla

[email protected] | +91-9100392853 | LinkedIn | GitHub

Skills

  • Java, Python, JavaScript, Kotlin, Dart, Android, Git, GitHub
  • HTML, CSS, Firebase, REST APIs, Jetpack Compose, Flutter, NextJS, Machine Learning

Experience

Mobile App Developer Intern

Apps AiT, Hyderabad
July 2024 - December 2024

  • Worked on confidential projects using Flutter, successfully coding 75% of the project.
  • Led teams on various projects, ensuring timely and high-quality deliveries.
  • Collaborated with more than 3 cross-functional teams to enhance project outcomes.
  • Ported the existing Native android app into cross-platform which led to 50% reduction of codebase
  • Improved app performance and user experience through efficient coding practices.

Junior Developer

CBIT Open Source Community (COSC), Hyderabad
January 2024 - Decemeber 2024

  • Delivered high-quality software for COSC websites.
  • Collaborated with 5 cross-functional teams to deliver products on time.
  • Managed websites with over 100 monthly visitors during events, ensuring 99.9% uptime.
  • Reduced project size by ~50% for a smoother user experience.

Engineering Intern

PixelQuest Solutions, Hyderabad
June 2022 - December 2022

  • Built and deployed scalable solutions for real-time communication applications using HTML, CSS, Python, JavaScript.
  • Worked with 4 multi-domain teams to deliver high-quality software products within deadlines.

Education

Bachelor of Engineering

Chaitanya Bharathi Institute of Technology, Hyderabad, India (09/2023 - Present)

  • Bachelor in Artificial Intelligence and Machine Learning
  • GPA: 9.14

Diploma in Engineering

Government Polytechnic Hyderabad, Hyderabad, India (09/2020 - 05/2023)

  • Diploma in Computer Science and Engineering
  • GPA: 9.6

Projects

  • Freelance Esports App

    • Developed a comprehensive esports platform using Flutter and Firebase, facilitating tournament organization and player management.
    • Enhanced user engagement through real-time updates and interactive features.
    • GitHub
  • Resume Evaluator

    • Built an intelligent tool integrating K-Nearest Neighbors (KNN) algorithms with 90% accuracy and Node.js to automate candidate assessment.
    • Streamlines recruitment by providing comprehensive insights into candidate suitability.
    • GitHub
  • Thunderbolt

    • Engineered a cross-platform chatting application using Flutter and Firebase, enhancing real-time communication and user experience.
    • GitHub
  • Locachat

    • Implemented a location-based chatting app enabling real-time interactions between nearby users.
    • Enhances user connectivity and engagement.
    • GitHub
  • Media3 Music App

    • Developed a music app using Jetpack Compose and Kotlin, delivering an immersive audio experience.
    • GitHub
  • Crop Disease Prediction 🌾🦠

    • Developed a deep learning-based crop disease prediction model with 97% accuracy, aiding farmers in early disease detection using image classification.
    • High Accuracy (97%): Optimized CNN architecture for precise disease detection.
    • Image-Based Classification: Uses deep learning to classify diseases from crop images.
    • GitHub

Volunteering

  • Zed IDE Team (08/2024)
    • Assisted the team in identifying and resolving a critical bug in the Kotlin language server for the Windows version of their build.
  • CBIT Open Source Community (01/2024 - 12/2024)
    • Passionate member and junior developer, building websites and organizing open-source awareness events.
  • GitHub Contributions (01/2024 - Present)
    • Contributed to open-source projects at CBIT Open Source Community, helping team members resolve issues.

Accomplishments

  • LeetCode POTD Streak – Maintained a streak of 122 days solving the Problem of the Day.
  • LeetCode Achievements – Solved 230+ problems and made 830+ submissions in the past year.
  • CBIT HACKTOBER-2023 Hackathon – Winner
  • State-level SRUJANA 2022-23 competitions for ThunderBolt – Second Prize
  • TSPOLYCET 2020 – State Rank 766
  • TSECET-2023 – State Rank 116

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