I am a driven Computer Science student passionate about Generative AI and system-level problem solving. I specialize in building AI-integrated backend applications, designing structured workflows, and optimizing performance for real-world use cases. I focus on clarity, precision, and scalability in everything I build. My goal is to create intelligent systems that are not only innovative but also reliable and production-ready.
During my internships, I gained hands-on experience in cybersecurity testing and cyber-physical system validation. At Rinex Technology, I performed vulnerability assessments aligned with OWASP standards, focusing on authentication, authorization, and API security. Later, at CCPS, VIT Chennai, I worked on backend data processing and real-time system validation for cyber-physical prototypes, analyzing performance and ensuring reliable workflow execution. These experiences strengthened my understanding of secure system design, backend architectures, and structured problem-solving in production-oriented environments.
I have developed multiple AI-integrated and backend-driven projects focused on real-world problem solving. I built a facial video analysis system using AWS Rekognition with REST APIs for automated attendance, achieving high recognition accuracy and structured request handling. I also developed an NLP-based trend analysis system that processed 50,000+ Google Play Store reviews using sentiment analysis and classification pipelines to automate feedback categorization. Additionally, I worked on an Alzheimer’s screening web application integrating machine learning inference with backend APIs for real-time prediction. These projects reflect my ability to design scalable AI workflows, optimize performance, and build production-ready systems.
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