SS

Sathish S

Computer Science student · Full-stack developer

Chengalpattu, Tamil Nadu, India

@sathish9846

0 followers

🎓 B.E. in Computer Science at Dhaanish Ahmed College of Engineering · Graduating 2027

About

Computer Science student with hands-on experience in full-stack development using React, Node.js, and MongoDB. Built and deployed real-time applications with a focus on scalability, performance, and clean architecture.

Experience

  • UI/UX Design Intern
    MSME

    Designed wireframes and prototypes, improving user flow and UI clarity. Increased usability efficiency and reduced navigation complexity.

  • Java Developer Intern
    InterPe

    Developed Java applications using OOP principles, improved code maintainability through modular restructuring, and reduced runtime errors using exception handling techniques.

  • Artificial Intelligence Intern
    Infosys Springboard

    Applied machine learning techniques on datasets for training and evaluation. Built end-to-end workflows covering data cleaning, training, and validation.

Education

  • Bachelor of Engineering (B.E.)
    Computer Science · 2023 – 2027
  • Higher Secondary
    Government Higher Secondary School
    English Medium · 2022 – 2023

Skills

  • Web development <3 months
  • CSS <3 months
  • HTML <3 months
  • Java <3 months
  • JavaScript <3 months
  • React <3 months
  • Debugging <3 months
  • Design Systems <3 months
  • Code Optimization <3 months
  • app development <3 months

Tools / apps / platforms

  • Git <3 months
  • MongoDB <3 months
  • MySQL <3 months
  • NPTEL <3 months
  • Oracle Cloud Infrastructure <3 months
  • PostgreSQL <3 months
  • VS Code <3 months

Languages

  • Tamil Native / Bilingual Speak
  • English Fluent Speak

Projects

  • AI Chatbot for Health
    Python, HTML, API Integration

    Created a chatbot handling 100+ queries per session and improved response efficiency through API optimization.

  • Real-Time Music Sync Application
    React, Node.js, MongoDB, Socket.io

    Engineered a full-stack platform supporting real-time playback, room-based sessions, and optimized upload/storage handling.

  • AI-Powered Credit Card Fraud Detection
    Python, Scikit-learn

    Developed an ML model achieving 96% accuracy using Random Forest and processed 10,000+ transaction records.

Courses & certifications

  • Oracle Cloud Infrastructure 2025 Certified Foundations Associate · Oracle · 2025
  • MongoDB Basics for Students · MongoDB
  • Introduction to Git & GitHub · Coursera
  • Artificial Intelligence · Infosys Springboard
  • The Joy of Computing Using Python · NPTEL

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