π B.Tech in Computer Science (AI & Data Science) at Galgotias University
π» Passionate about building scalable web applications, backend systems, and AI-powered solutions.
π± Currently Learning:
- Spring Boot & Microservices
- AWS Cloud Services
- Machine Learning
- System Design
- Data Structures & Algorithms
π― Career Goal: Software Engineer | Full Stack Developer | Backend Developer
- Designed AI-driven analytics workflows.
- Automated insight generation pipelines.
- Optimized SQL queries improving performance.
- Worked with AWS deployment workflows.
Tech Stack: Node.js, Express.js, React, MySQL
- Property listing and rental platform
- Secure authentication system
- Search and filtering features
- REST API architecture
Tech Stack: Python, Scikit-Learn, TF-IDF
- Personalized recommendation engine
- TF-IDF vectorization
- Data preprocessing and analysis
Tech Stack: Python, TensorFlow, CNN, OpenCV, Machine Learning
- Developed an AI-powered Deepfake Detection and Misinformation Analysis Platform.
- Utilized Convolutional Neural Networks (CNNs) to identify manipulated images and videos.
- Achieved high validation accuracy on deepfake datasets.
- Implemented image forensic analysis for detecting synthetic media.
- Enhanced trust and transparency in digital content through AI-driven analysis.
| Platform | Rating |
|---|---|
| LeetCode | 1600 |
| CodeChef | 1300 |
| Codeforces | 900 |
β Master Spring Boot
β Learn Microservices
β Improve System Design Skills
β Build Production-Ready Projects
β Secure Software Engineering Internship
"Consistency beats intensity. Build, Learn, Improve, Repeat."
β If you like my work, don't forget to star my repositories!