MALATHI N

Built a secure SaaS file-sharing platform using Firebase Auth and AES-encrypted storage, increasing data confidentiality by 95% and improving mobile usability to 100%, which reduced user drop-off by 50%.

Engineered a custom heap data structure in Java to improve logistics sorting performance by 90% and reduce execution time by 50%, completing simulations 25% ahead of schedule; designed modular UML diagrams that cut integration bottlenecks by 70%.

Developed and deployed a Spring Boot REST API for JSON file uploads with 100% accuracy and achieved 90%+ unit test coverage, improving backend reliability by 70% and reducing handover friction by 50% through documentation and simulated Agile workflows.

Integrated Tesseract.js for browser-based OCR achieving 92%+ accuracy and implemented lightweight client-side AI preprocessing to boost performance by 90%, enabling instant export and increased user productivity.

Developed a Manifest V3 Chrome extension in vanilla JavaScript to provide real-time link previews, reducing unnecessary tab switches by 70% and achieving sub-50ms render times across 95% of tested sites.

Grade: 9.33/10

Bachelor's in Computer Science and Engineering completed with a 9.33/10 CGPA, focusing on full-stack development and software engineering principles.