AI & ML Developer | MERN Stack Developer | FreeLancer | Final Year CSE Student
Passionate developer with a focus on AI, ML, and Full-Stack Development
I am a final-year B.E. CSE student at Velammal College of Engineering and Technology, driven by a passion for creating innovative solutions using cutting-edge technologies. With a strong foundation in both theoretical concepts and practical applications, I specialize in AI, Machine Learning, and Full-Stack Development.
My journey in technology has been marked by continuous learning and hands-on experience across various domains. I believe in building solutions that not only solve problems but also create meaningful impact.
Velammal College of Engineering and Technology
CGPA: 7.90
Innovative solutions across various domains
A MERN stack platform promoting tree plantation using Gemini API for image verification and reward-based participation. The platform encourages environmental conservation through gamification and community engagement.
Automated personalized email generation using website input with NLP techniques and prompt engineering. Leverages advanced AI models to create contextually relevant and engaging email content.
Real-time CCTV surveillance tool using PyTorch, YOLOvX, Deep SORT, and OpenCV with a Tkinter GUI. Features advanced object tracking and anomaly detection capabilities.
Interactive data visualization project using Tableau to analyze Netflix content trends, genres, and viewing patterns. Provides insights into content strategy and user preferences.
Power BI dashboard analyzing global air crashes, providing detailed insights on fatalities, aircraft types, and operators. Features interactive visualizations and trend analysis.
Professional experience and hands-on learning
Immersive Digital Solutions (Fiverr)
Developed a comprehensive E-learning platform using MERN stack featuring student and admin portals. Implemented advanced features including AI chatbot integration, doubt posting system, interactive quizzes, and audio content management. Built robust APIs for seamless communication between frontend and backend.
DCI, Madurai
Developed a comprehensive suspicious activity detection system with a user-friendly GUI interface. Implemented features including video upload for analysis, automated data storage for detected suspicious activities, and Excel report generation. Built real-time detection capabilities using PyTorch and OpenCV, integrated with MERN stack for web deployment.
The Sparks Foundation
Developed a secure banking system with comprehensive features including user authentication, transaction management, and account tracking. Implemented real-time transaction processing using MERN stack with PostgreSQL for robust data management. Added features like transaction history, balance tracking, fund transfers, and secure payment gateway integration. Focused on security implementation with JWT authentication and encryption.
NullClass Technology
Developed multiple AI/ML models including a Pedestrian Detection System, Voice Recognition Model, and Child Detection Model. Implemented solutions using advanced deep learning frameworks and computer vision techniques. Utilized neural networks and transfer learning for improved model accuracy and performance.
Exposys DataLabs
Implemented customer clustering algorithms for mall customer analysis, focusing on purchasing patterns and behavior prediction. Developed predictive models for future profit forecasting and strategic decision-making. Applied advanced data analysis techniques to enhance business intelligence and customer segmentation.
Professional certifications from world-class institutions
Stanford University & DeepLearning.AI
Professional Certificate
IBM Cognitive Class
MERN Stack - Udemy
Recognition and accomplishments that showcase excellence
Honored with the prestigious Dr. Kalam Young Achiever Award 2024 for developing an innovative AI-powered solution for environmental conservation. The project was selected as the best idea and prototype across the state, showcasing how technology can be leveraged for nature preservation. This recognition celebrates Dr. APJ Abdul Kalam's vision of using technological innovation for sustainable development and environmental protection.
Recognized for outstanding contributions to artificial intelligence innovation, with impactful advancements in computer vision, generative AI, and machine learning. This award celebrates the achievement of the Dr. Kalam Young Achiever Award, honoring visionary leadership and technical excellence in developing transformative AI-driven solutions. The work demonstrated not only real-world relevance but also a deep commitment to societal impact and addressing climate challenges, with innovative ideas aimed at protecting nature and the planet.
Achieved golden badges in Problem Solving, Python, and SQL on HackerRank, demonstrating exceptional proficiency in algorithmic problem-solving, data structures, and database management. Completed over 100+ challenges with optimal solutions.
Mastered data manipulation and analysis challenges using Python Pandas on LeetCode. Achieved expert-level proficiency by solving complex data processing problems and implementing efficient solutions for real-world scenarios.
Let's connect and discuss opportunities