sagnik Das

Sagnik is a passionate software engineer turned machine learning enthusiast currently pursuing a degree in Computer Science. With a strong foundation in software development, he has ventured into the world of AI and ML, aiming to bridge the gap between cutting-edge technologies and real-world applications.

In his free time, Sagnik enjoys building innovative products for fun. He has developed a wide range of projects, from microservices backends to interactive web applications, showcasing his versatility in both frontend and backend development. Some of his notable projects include Capsi Gen, a dynamic web tool, and Hex Guard, a security-focused application. You can explore these projects on his Vercel and GitHub.

Sagnik is also diving deep into Federated Learning, privacy-preserving machine learning, and distributed systems. He is working on a research project that focuses on implementing Federated Learning with Kubernetes (K3s) and Flower for privacy-preserving data analysis. His work integrates advanced security features like Differential Privacy, Homomorphic Encryption, and Reinforcement Learning from Human Feedback (RLHF).

An avid learner, Sagnik is committed to advancing his skills in AI, ML, and backend development. When not coding, he enjoys exploring new technologies and solving complex problems, always striving to improve and innovate. With a focus on privacy and security in machine learning, Sagnik is building the future of AI with a strong emphasis on ethical and privacy-conscious development.