Hello! I'm an engineering student with a strong focus on technologies like Post-Quantum Cryptography (PQC), Secure Multi-Party Computation (SMPC), Fully Homomorphic Encryption (FHE), Blockchain, Web Development (Full Stack), and Machine Learning. I also have some experience with Web Development, Blockchain, Federated Learning, and Machine Learning, among other technologies.
- Implementing: SMPC in Python and C++, kyber crystal lattice (MLKEM).
- In Progress: ML-DSA and Falcon algorithms in PQC
- Next Step: Fully Homomorphic Encryption (FHE).
- Real-time monitoring of sensor data using the Flower framework
- Used RaspberryPI and temperature sensors for a demo project
- Next Step: Federated Learning in HealthCare.
- Learning and building smart contracts
- Exploring decentralized applications and secure transaction systems
- Next Step: Implementing DAPP for video-sharing, and social-media.
- Languages: Python, C++, Solidity, JavaScript/TypeScript (MERN stack), SQL
- Frameworks: Flower, React, Node.js, Nextjs, Express
- Tools: CLion, PyCharm, VSCode
- Hardware: Raspberry Pi
- Implemented OT using Elliptic Curve Cryptography (ECC)
- Dynamic configuration module management for cryptographic constants
- Raspberry Pi as a client and laptop as a server using the Flower framework
- Achieved sensor data training and model updates
- Smart contract development using Solidity
- Working on decentralized applications
- Built a Library Management System as a complete MERN stack project
- Continuously expanding my expertise in cryptography, blockchain, and AI technologies
- Passionate about creating secure, efficient, and innovative systems
- GitHub: https://github.com/RaghavendraRQ/
- Email: [email protected]
Feel free to explore my repositories, and don't hesitate to reach out for collaboration or discussions about cutting-edge technology!
