- AI/ML engineering student focused on research-driven system design
- Actively building intelligent, scalable, and secure AI systems
- Strong interest in LLMs, ML inference, federated learning, and privacy-preserving AI
- Primarily working on applied research and production-oriented prototypes
- Machine Learning Systems and Optimization
- Large Language Models and Retrieval-Augmented Generation
- Federated Learning and Differential Privacy
- AI-driven Cognitive and Adaptive Learning Systems
- Secure and Distributed AI Architectures
- mle-runtime — high-performance C++ ML inference engine with Python bindings
- Gurukul Cognitive Modeling System — AI-driven adaptive learning intelligence
- FDPR — federated learning framework with differential privacy and blockchain
- Email Automation Bot — LLM-powered communication system using vector memory
- ExaminationVerse — scalable AI-powered online assessment platform
- 500+ data structures and algorithms problems solved
- Consistent use of GitHub for experimentation and system prototyping
- Focus on correctness, performance, and deployability
- B.Tech in Artificial Intelligence & Machine Learning
- KIT’s College of Engineering, Kolhapur (2023–2027)
- CGPA: 8.48
- Email: [email protected]
- LinkedIn: https://linkedin.com/in/vinay-kamble289
- GitHub: https://github.com/vinaykamble289