Edmond Song is a software engineer with 10 years of cross-disciplinary experience building high-performance systems from on-chain Solana programs to quantitative trading models and medical imaging pipelines. He shipped Rust-based Solana smart contracts that achieved ~3500 TPS and supported 3000 concurrent users, and is fluent in the Solana toolchain including Anchor and SPL. Previously he developed PyTorch-driven quantitative strategies with a Sharpe ratio of 3.3 and a 26% annualized return, and built a TensorFlow medical image classifier deployed across clinics. Edmond blends research roots in RNA interference with hands-on engineering, giving him a strong foundation in algorithm design, ML, and systems optimization. He maintains an active GitHub showcasing personal projects and a consolidated resume repo, and has practical experience optimizing for low gas costs and secure on-chain interactions. Based in Hong Kong, he thrives in remote, multidisciplinary teams and prefers open workflows such as IPFS for resilient resume and project sharing.
10 years of coding experience
9 years of employment as a software developer
Master's degree, Cell Plasticity and RNA Interferences, Master's degree, Cell Plasticity and RNA Interferences at Shanghai Marine Medical University
Bachelor's degree, Diagnostic Radiology Residency Program, Bachelor's degree, Diagnostic Radiology Residency Program at Southwest University of Medicine
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Edmond Song - Software Engineer at Arcturus Tech Studio