Motivated Software Engineer actively seeking job opportunities, proficient in Python, Java, AWS, and MERN. Proven ability to develop innovative solutions, automate processes, and design secure systems, demonstrated through impactful projects and internships.
-Developed backend APIs with Node.js, Express.js, Mongoose, achieving an average response time of 150 milliseconds for 300 concurrent users accessing the platform simultaneously within the college network
-Implemented Role-Based Access Control (RBAC) and user authentication using JSON Web Tokens (JWT), ensuring secure access to medical data while adhering to privacy regulations.
-Implemented comprehensive audit trails to log all system events and user activities, providing a detailed record for security, compliance, and troubleshooting purposes.
IBM Data Science Professional Certificate
Music Signal Analysis: Regression Analysis | Established the importance of Trigonometric and Polynomial regression on a hypothesis involving logarithmic or exponential terms. Compared the performance of Trigonometric, Polynomial regression, and simple neural networks. • Performed Regression Analysis on Music signals.
Multi-Layer Encryption Algorithm | Proposed a new Quadruple Encryption Algorithm that consists of novel phase shift algorithm, AES, Two fish and RC