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I focus on Quantum Communication and Quantum Cryptography, with applied experience in secure channels, quantum-aware system design, and machine learning for security tasks. I combine experimental research, applied development, and reproducible pipelines to solve real-world problems in quantum-safe communications and cryptography.
| Area | Focus |
|---|---|
| Quantum Cryptography | QKD, quantum-safe protocols |
| Quantum Communication | Quantum channels, secure transmission |
| Applied Research | Experimental quantum systems |
| ML for Security | Malware detection, ensemble learning |
- Contact: jithinyakkara@gmail.com
| Role | Organization | Duration | Focus |
|---|---|---|---|
| Research Intern (Quantum Communication) | IIT Roorkee | Dec 2025 – Jun 2026 | Quantum Communication, QKD, BB84 Protocol, Distributed Quantum Communication, Secure Communication Frameworks, SimulaQron-based Simulations |
| Founder & Academic Mentor | JJ Academy | 2021 – 2024 | Mentored 100+ students in Computer Science, Mathematics, Programming, and Problem Solving |
| Student Placement Coordinator | CUSAT | 2024 – 2026 | Placement Coordination, Technical Training and Management |
| Android Developer Intern | 2022 | Android Application Development and Mobile Development Practices |
Quantum & Research
Programming
Web & App Development
Machine Learning
Tools
| Project | Description | Tech Stack |
|---|---|---|
| Mixture of Experts (MoE) for Malware Classification and Detection | Developed a Mixture of Experts (MoE) framework for multi-task malware analysis, integrating specialized expert networks for malware family classification, packed/unpacked detection, and benign/malicious classification. Evaluated the model on 21 malware families using family-wise performance metrics and confusion matrix analysis. | PyTorch, Deep Learning, Computer Vision, Machine Learning |
| Distributed Quantum Key Distribution (QKD) Framework | Developed a distributed hybrid quantum-classical secure communication framework based on the BB84 protocol. Implemented Alice-Bob architecture, synchronization mechanisms, quantum channel simulation, key management services, and ETSI-compliant APIs for secure key exchange. | Python, SimulaQron, FastAPI, Quantum Cryptography, QKD |
| Weighted Ensemble Malware Classifier | Developed an ensemble-based malware detection system combining multiple deep learning models through weighted fusion to improve malware family classification accuracy and robustness. Evaluated performance using family-wise metrics and confusion matrix analysis. | PyTorch, Machine Learning, Deep Learning |
| Fuel Delivery Management App | Built a fuel delivery management platform to streamline order processing, delivery tracking, route management, and customer operations. | PHP, MySQL, Web Development |
| Product Management Web Application | Developed a role-based inventory and product management system with authentication, product tracking, stock management, and reporting features. | MongoDB, Express.js, React.js, Node.js (MERN Stack) |
- LinkedIn: https://www.linkedin.com/in/jithins2003
- Instagram: https://www.instagram.com/jithin_online_/
- Email: jithinyakkara@gmail.com