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VM

Varsha M

B.E. graduate in Information Science and Engineering · Data analysis & AI-Interested Developer

Bengaluru, Karnataka, India

@varsha_m

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About

B.E. graduate in Information Science and Engineering with hands-on experience building web and software projects using Python, React, Node.js, SQL, and MongoDB. Interested in developing reliable, user-focused applications and using AI-assisted coding to solve real-world problems.

Experience

  • Android App Development Intern (Generative AI)
    MindMatrix
    Feb 2026 – May 2026

    Completed a 3-month hands-on internship applying Generative AI tools to Android application development using Kotlin and Jetpack Compose. Integrated Firebase for backend data storage, authentication, and real-time app functionality. Collaborated with a project team to build RaithaBharosa, a smart sowing assistant application, following modern software development practices.

Education

  • Bachelor of Engineering in Information Science and Engineering
    Vemana Institute of Technology
    Awarded by VTU
    Information Science and Engineering · 2026
  • PU
    St. Philomena PU College
    2022
  • SSLC
    St. Philomena English School
    2019

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
C SQL CSS HTML Java React Python Node.js JavaScript Machine Learning API Integration Understanding Data Structures and Algorithms

Tools / apps / platforms

3 to 6 months 3 to 6 months A few months of practice with it.
Firebase
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Linux MongoDB Tableau Google Sheets Microsoft Excel Microsoft Power BI

Languages

Native / Bilingual Native / Bilingual Their first language, or as strong as one.
Kannada Speak
Fluent Fluent Comfortable using it for work.
English Speak
Conversational Conversational Can hold an everyday conversation.
Telugu Speak

Projects

  • PPG-Based Respiration Estimation using CycleGAN
    CycleGAN, PPG

    Deep learning model estimating respiration from PPG signals without additional sensors for wearable health-monitoring use cases.

  • Skin Cancer Detection
    CNN, Random Forest

    Image classification model distinguishing benign vs. malignant skin lesions with over 90% accuracy.

  • Fake News Detection
    Python, Scikit-learn, Pandas, NLP

    Text classification model to detect and classify fake news.

  • AntherSkin
    React.js, Node.js, Express.js, MongoDB

    Full-stack skincare e-commerce platform with cart, order, and service-booking features. Used AI coding tools to accelerate frontend-backend integration and REST API implementation.

Courses & certifications

  • Full Stack Development · Infosys Springboard
  • Java for Beginners · Infosys Springboard
  • Basics of Python · Infosys Springboard

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