Computer Science Graduate with expertise in full-stack development, cloud computing, and AI technologies. Passionate about creating innovative solutions and contributing to cutting-edge software projects.
I am a Computer Science graduate with a strong foundation in software development, cloud computing, and artificial intelligence. My academic journey and hands-on experience have shaped me into a disciplined and focused individual with a passion for leveraging technology to solve real-world problems.
My research, published in IEEE, explores the use of advanced deep learning techniques—specifically Bi-LSTM classifiers—for detecting email spam, highlighting my expertise in machine learning and cybersecurity. In addition to my technical skills, I bring strong computer science fundamentals, leadership qualities, and a proactive mindset.
I have experience in full-stack development, working with cloud platforms, and implementing AI-driven solutions. I'm eager to continuously learn and adapt to emerging technologies, always showing enthusiasm and curiosity to grow as a professional.
Banking System
A comprehensive banking management system with features for account management, transaction processing, and business operations. Built with modern web technologies and secure authentication systems.
Movie Booking
An online movie ticket booking platform with seat selection, payment processing, and user management. Features include real-time seat availability and booking confirmation.
Portfolio Website
A modern, responsive portfolio website showcasing my academic projects, skills, and achievements. Built with HTML5, CSS3, and vanilla JavaScript, featuring smooth animations, mobile-first design, and professional presentation of my work as a Computer Science graduate.
Event Management
A comprehensive event management platform built with Django, featuring event creation, registration, and management capabilities. Includes user authentication, event scheduling, and detailed event analytics.
IEEE Conference Publication • 2023
View PublicationPublished research comparing machine learning and deep learning algorithms for email spam detection. The study evaluates multiple classifiers including Naive Bayes, Random Forest, ANN, SVM, LSTM, and Bidirectional-LSTM to identify the most effective approach for distinguishing spam from legitimate emails, addressing cybersecurity challenges in modern email communication.
KL University, Vijayawada
2020 - 2024 • CGPA: 9.17
Completed comprehensive coursework in Computer Science including Data Structures & Algorithms, Object-Oriented Programming, Database Systems, Web Development, Software Engineering, Machine Learning, and Cloud Computing technologies.
AWS & TensorFlow
2023 - 2024
Earned industry-recognized certifications demonstrating expertise in cloud computing and machine learning technologies, enhancing practical skills in modern tech stack.
Amazon Web Services
Foundational understanding of AWS Cloud concepts, services, security, architecture, pricing, and support.
View CertificateTensorFlow Certificate Program
Demonstrated proficiency in using TensorFlow to solve deep learning and machine learning problems.
View CertificateI'm always open to discussing new opportunities, interesting projects, or just having a chat about technology. Feel free to reach out!