CA

Cathrine A

Computer Science Engineering undergraduate · Aspiring Technical Support / Software Engineer

Chennai, Tamil Nadu, India

@a_cathrine

0 followers

🎓 B.E. Computer Science and Engineering at KCG College of Technology · Graduating 2027

About

Computer Science Engineering undergraduate with hands-on experience in application development, debugging, testing, and database management. Strong foundation in programming, computer networks, operating systems, SQL, and cloud computing, with an interest in technical support and resolving technical issues.

Experience

  • Software Intern
    Inspire Softech Solutions

    Contributed to development and testing of responsive web applications. Debugged application issues and assisted in improving application functionality. Performed testing and helped identify and resolve implementation issues. Gained practical experience in SDLC, teamwork, and industry-standard development practices.

Education

  • Class 12
    Montfort Higher Secondary School
    Jun 2022 – May 2023
  • B.E. Computer Science and Engineering
    Computer Science · Sep 2023

Skills

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Linux MySQL PuTTY Wireshark Microsoft Windows Visual Studio Code Google Cloud Platform Amazon Web Services AWS

Projects

  • Financial Fraud Detection System
    Python, VAE, LSTM, Federated Learning

    Developed an AI-based system to identify potentially fraudulent financial transactions. Applied VAE and LSTM models for feature learning and transaction-pattern analysis. Used Federated Learning for collaborative model training while keeping sensitive data decentralized. Worked on data preprocessing, model development, testing, and performance evaluation.

  • AI-Based Diabetic Risk Predictor
    Python, Machine Learning

    Developing an AI-based system to predict diabetes risk using relevant input parameters. Implemented data preprocessing and machine-learning techniques for risk prediction. Designed an easy-to-understand prediction workflow based on user input. Performed model testing and evaluation and applied debugging during development.

  • AI-Based Diabetic Risk Predictor
    Python, Machine Learning

    Developing an AI-based system to predict diabetes risk using relevant input parameters. Implemented data preprocessing and machine-learning techniques for risk prediction. Designed an easy-to-understand prediction workflow based on user input. Performed model testing and evaluation and applied debugging during development.

Courses & certifications

  • Cloud Computing · NPTEL
  • Cyber Security & Privacy · NPTEL
  • Google Cloud Digital Campus · Google Cloud
  • Pragati · Infosys Springboard
  • Forage Virtual Experience Programs · Forage
  • Cloud Computing · NPTEL
  • Cyber Security & Privacy · NPTEL
  • Google Cloud Digital Campus · Google Cloud
  • Pragati · Infosys Springboard
  • Forage Virtual Experience Programs · Forage

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