Gus Ye is a founder and engineer with 8 years of experience building AI-first infrastructure and distributed systems from research prototypes to production startups. He founded Memobase, a lean, privacy-first long-term memory platform for GenAI, and now leads Acontext, a context data platform for self-learning agents. Gus has deep hands-on experience in model-serving and inference optimization—contributing to WasmEdge's WASI-NN/OpenVINO integration and implementing Wasi‑NN support at the Linux Foundation—plus work on vector quantization for Jina AI’s neural search. He combines academic training from USTC with industry research at Microsoft and Tencent to bridge large-scale pretraining, MoE/distributed inference, and practical product constraints. Notably, his open-source contributions target real-world ML deployment pain points (edge runtimes, ANN memory efficiency), reflecting a penchant for shipping lean, high-performance systems. Based in Singapore, he blends founder-level product judgment with low-level systems and CUDA optimization skills.
8 years of coding experience
2 years of employment as a software developer
Master of Computer Applications - MCA Computer Science, Master of Computer Applications - MCA Computer Science at University of Science and Technology of China
WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.
Role in this project:
Back-end Developer & Test Automation Engineer
Contributions:18 reviews, 7 commits, 15 PRs in 7 months
Contributions summary:Gus primarily contributed to the WASI-NN integration within the WasmEdge runtime, specifically focusing on the OpenVINO backend. Their work involved modifying existing code to integrate OpenVINO, adding backend flags, and creating unit tests for the OpenVINO backend. The user's commits demonstrate a focus on expanding the functionality of the WebAssembly runtime to support machine learning inference using the OpenVINO framework.
This repo is about the robotic project I did in 2019 summer robot and AI of imperial college London.
Contributions:1 PR, 6 pushes, 1 branch in 2 years 9 months
roboticsdidimperial-collegerobotsummer
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