Summary
Peter Ince is a founder and PhD-trained engineer with a decade of experience building pragmatic Web3 and ML systems, now leading Cenva Intelligence to bring evaluation-first decision intelligence to finance teams. His doctoral work pioneered fine-tuning open-source LLMs to detect Solidity smart contract vulnerabilities, bridging academic rigor (ACISP publications and an arXiv report) with production-ready tooling. He has repeatedly translated research into usable products—from decentralized identity and credentialing integrations with humanitarian partners to IPFS-backed document wallets and private IoT transactions. Technically fluent across agent architectures, LLM evaluation, smart contracts, full-stack development and cloud-native deployment, he emphasizes the governance and feedback loop around models as the real product. Based in Melbourne, he pursues distributed intelligent agents and privacy-responsible AI, blending security-first thinking with an eye for intuitive user experiences.
10 years of coding experience
16 years of employment as a software developer
Diploma of Information Technology, Software Development, Diploma of Information Technology, Software Development at Holmesglen TAFE
Doctor of Philosophy - PhD, Using AI To detect vulnerabilities in smart contracts, Doctor of Philosophy - PhD, Using AI To detect vulnerabilities in smart contracts at Monash University