Accomplished Software & Rationalization Engineer at Murata Electronic Singapore, adept in Python and critical thinking. Spearheaded AI-driven manufacturing transformations, enhancing efficiency through innovative solutions. Expert in computer vision and project management, significantly improving operational processes and quality control. Achieved notable advancements in AI applications and predictive analytics, demonstrating exceptional problem-solving and technical support capabilities.
Objective: Transform manufacturing processes through innovative AI-driven solutions and cutting-edge software and hardware advancements.
Key Responsibilities:
Kubernetes and Cloud Native Essentials (LFS250)
Machine learning Stanford University
Python for Analytics National University of Singapore
Publication Summary: "Towards Atomicity and Composability in Cross-Chain NFTs"
Published in Springer on July 13, 2024, this research addresses critical challenges in enabling interoperability of Non-Fungible Tokens (NFTs) across siloed blockchain networks. The study redefines NFTs as a pair structure and proposes solutions to facilitate atomicity and composability in cross-chain NFT transfers.
https://link.springer.com/chapter/10.1007/978-3-031-65172-4_6