"Passionate developer proficient in Java, with a growing interest in full-stack development, AI technologies and data science. Focused on transforming ideas into innovative digital solutions."
A Computer Science Engineering graduate from Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology with a CGPA of 9.0/10. I specialize in Java development and have hands-on experience in building full-stack applications using modern technologies.
My passion lies in creating innovative solutions to real-world problems. I enjoy working on challenging projects that allow me to apply my technical skills and creativity. My research in AI-powered interview systems demonstrates my commitment to advancing technology in practical applications.
B.Tech in Computer Science Engineering
Aug 2021 - May 2025
Vel Tech University, Chennai, India
Bengaluru, Karnataka, India
Winner of Mercer-Mettle Hackathon.
3rd Place in VelTech QUIZ Contest.
Published Paper on AI Interview Mocker Systems.
Problem Solving, Web Development, AI Technologies, AIML, Debugging, Data Science, Research.
My achievements and professional journey
Secured TOP 10 position in the All India Online Hackathon contest organized by Mercer Mettles. Demonstrated exceptional problem-solving skills and technical expertise in a competitive environment.
Winner of Limitless Hackathon held by Mercer, showcasing innovative solutions and teamwork.
Validations of my technical expertise
Acquired proficiency in SQL including complex queries, database design, and optimization techniques. Demonstrated ability to manage and manipulate relational databases effectively.
Comprehensive certification covering Java backend development, frontend technologies, and full-stack integration. Mastered building end-to-end web applications using Java ecosystem.
Solid foundation in Java programming covering core concepts, syntax, and basic algorithms. Demonstrated ability to solve programming problems using Java.
Mastered Object-Oriented Programming concepts including inheritance, polymorphism, encapsulation, and abstraction using Java. Developed proficiency in designing robust software systems.
A mock interview platform powered by AI to generate questions, analyze answers, and provide feedback to help candidates prepare for technical interviews.
Developed a comprehensive online banking application with real-time visualizations for account management, transactions, and financial reporting.
A coding-oriented web IDE with real-time visualizations and collaborative features for developers to write, debug, and share code efficiently.
This research paper presents a novel approach to technical interview preparation using Generative AI. The Gen AI Interview Mocker system simulates realistic interview scenarios, generates context-aware questions, and provides personalized feedback based on candidate responses. Our research demonstrates a 42% improvement in candidate performance and confidence after using the system for just two weeks compared to traditional preparation methods.