PS

Poosan Kumar S

Computer Science Engineering student · Aspiring Software Developer

Bengaluru, Karnataka, India

@poosan_kumar_s

0 followers

🎓 Bachelor of Engineering in Computer Science and Engineering · Graduating 2027

About

Computer Science and Engineering undergraduate with interests in cloud computing, machine learning, computer vision, and DevOps. Hands-on project experience building secure cloud applications and machine learning-based fraud detection systems.

Education

  • Bachelor of Engineering in Computer Science and Engineering
    Institution
    Computer Science · 2023 – 2027

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.

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 VS Code Eclipse IDE Microsoft Windows

Languages

Conversational Conversational Can hold an everyday conversation.
Tamil Speak Hindi Speak Kannada Speak English Speak · Read · Write

Projects

  • Smart Cloud Data Protection System Using Zero Trust Architecture
    Python, Flask, AWS EC2, AWS S3, Boto3, SQLite

    Developed a Zero Trust-based cloud data protection system using Flask and AWS EC2/S3. Implemented AES-256-GCM authenticated encryption and file fragmentation for secure cloud data storage. Integrated MFA/Email OTP, RBAC, Risk-Based Authentication, IP rate limiting, brute-force protection, and account lockout. Implemented hash-chained audit logging for tamper-evident security monitoring.

  • Credit Card Fraud Detection System
    Python, Scikit-learn, Random Forest, Isolation Forest, SMOTE, HTML, CSS, JavaScript

    Developed a machine learning model to detect fraudulent credit card transactions using the Kaggle Credit Card Fraud dataset. Applied SMOTE to handle class imbalance and implemented Random Forest and Isolation Forest models, evaluating performance using accuracy, precision, recall, and AUC-ROC. Built an interactive web interface using HTML, CSS, and JavaScript to classify transactions and display fraud prediction results.

Courses & certifications

  • Front End Web Developer Certification · Infosys Springboard · 2025
  • Python Foundation Certification · Infosys Springboard · 2024

🎯 Hobbies & interests

  • film making

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