Summary
Overview
Work History
Education
Skills
Websites
Certification
Position and Responsibilities
Languages
Projects
Timeline
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Soham Rothe

Soham Rothe

Computer Engineer
Nagpur,Maharashtra

Summary

Computer Engineering student skilled in programming, web development, and problem-solving. Strong communicator and team player eager to contribute to innovative projects and grow professionally.

Overview

3
3
Certification

Work History

Java Intern

CODSOFT
Remote
06.2025 - 07.2026
  • Developed basic Java applications, practiced OOP concepts.
  • Analyzed requirements to understand project goals and technical needs.
  • Implemented object-oriented programming principles in developing modular and maintainable Java applications.
  • Developed comprehensive test cases for Java applications, ensuring optimal functionality prior to deployment.

Web Development Intern

CODSOFT
Remote
06.2025 - 06.2025
  • Built responsive websites with HTML, CSS, JavaScript; applied front-end design principles.
  • Created wireframes and prototypes to visualize website layouts and features.
  • Developed testing code for web-based applications.
  • Developed user-friendly web forms with validation and error handling.

Education

Btech - Computer Engineering

St. Vincent Pallotti College of Engineering And Technology
01.2026

Skills

  • C
  • C
  • Java
  • Python
  • HTML
  • CSS
  • JavaScript
  • MS Office
  • Database Handling
  • AI
  • ML
  • CNN
  • TensorFlow
  • Teamwork
  • Problem-solving
  • Communication
  • Time Management
  • Graphic Designing
  • Logo Designing

Certification

  • Web Development Internship - CODSOFT
  • Java Internship - CODSOFT
  • ChatGPT for Cyber Security
  • Web Scraping with Python
  • Gmail (Google Cloud)
  • Adobe Photoshop

Position and Responsibilities

  • Student CDC Coordinator

Languages

English
Upper intermediate (B2)
Marathi
Advanced (C1)
Hindi
Advanced (C1)

Projects

FitPlus:-

AI Gym Trainer is an Android application that uses Artificial Intelligence and computer vision to detect and monitor exercises using the mobile camera. The system uses a MobileNet-based deep learning model converted to TensorFlow Lite to recognize exercises like squats and push-ups. It processes live video, identifies the exercise, and provides real-time feedback and rep counting. The app acts as a virtual fitness trainer to help users perform workouts correctly.

Timeline

Java Intern

CODSOFT
06.2025 - 07.2026

Web Development Intern

CODSOFT
06.2025 - 06.2025

Btech - Computer Engineering

St. Vincent Pallotti College of Engineering And Technology
Soham RotheComputer Engineer