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
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2027
Bachelor of Engineering in Computer Science and EngineeringInstitutionComputer Science · 2023 – 2027
Skills
Tools / apps / platforms
Languages
Projects
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Smart Cloud Data Protection System Using Zero Trust ArchitecturePython, 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.
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Credit Card Fraud Detection SystemPython, 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