Rajatkant Nayak is an early-career Machine Learning and Data Science practitioner and an Information Engineering graduate based in Milan. He holds a Master of Engineering (Computer Science) from Politecnico di Milano and a Bachelor of Engineering in Information Technology from Università degli Studi di Padova, and is a recipient of the MAECI Scholarship 2025–2026. His capstone and project work focus on privacy-preserving AI, federated learning and blockchain-enabled security (a reproducible federated-learning framework with Solidity smart contracts, IPFS and PyTorch), alongside embedded systems (Arduino/MPU6050 fall-detection wearable) and applied forecasting (TLBO–SVM commodity-forecasting). He is actively deepening his data-science foundations and seeking roles or internships that combine privacy-aware AI, robust data pipelines and blockchain-enabled security.

I am a Computer Engineer and AI/ML researcher based in Milan, Italy. I earned my Computer Engineering degree from Aligarh Muslim University, India. Currently pursuing graduate studies at Politecnico di Milano, I am actively expanding my expertise in computer science and artificial intelligence. I describes myself as a tinkerer and am open to full‑time opportunities where I can apply my research background and engineering skills to innovative projects.

Hardware-aware ML optimization, energy-efficient computing, AI accelerator architectures, in-memory computing, efficient AI accelerators, scalable computing systems, lightweight vision models.

I am currently working on analyzing different Domain Specific Architectures and the practical aspects in the domain.