Dixing X
Software Engineer at Weco AI
United Kingdom
Summary
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Rockstar🎓
Top SchoolDixing X is a software engineer with 12 years of experience building systems across web3/crypto, fintech, data science and LLM/agentic systems, currently working at Weco AI. He combines deep learning and reinforcement learning research roots with practical backend engineering—evidenced by contributions to a policy-gradient portfolio RL framework and core features in the Hyperledger Fabric Python SDK (crypto, discovery, chaincode lifecycle). Comfortable in both research and production settings, he has held roles from university research assistant to industry engineer and has shipped security-sensitive blockchain components at Hex Trust. Based in Stony Stratford, he brings a blend of academic rigor (distributed ledger tech, self-improving AI) and hands-on debugging/maintenance experience that often surfaces in subtle fixes and refinements. Outside work he stays disciplined through weightlifting, running and playing guitar, reflecting a methodical but creative approach to problem solving.
12 years of coding experience
7 years of employment as a software developer
Bachelor's Degree Information and Computing Sciences, Bachelor's Degree Information and Computing Sciences at University of LiverpoolBachelor’s Degree Information and Computing Science, Bachelor’s Degree Information and Computing Science at Xi'an Jiaotong-Liverpool University
Chinese, English, Finnish, Japanese, teochew, Spanish, Chinese
Stackoverflow
578reputation
87kreached
13answers
22questions
Github Skills (24)
python10
distributed-ledger-technology10
machine-learning10
reinforcement-learning10
distributed-ledger10
deep-learning10
tensorflow10
blockchain10
fabric10
hyperledger10
api-design9
apim9
numpy9
api9
faster-rcnn8
Programming languages (22)
Github contributions (5)
hyperledger/fabric-sdk-py
Mar 2018 - May 2021
Hyperledger Fabric Python SDK
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 50 reviews, 48 commits in 3 years 2 months
Contributions summary:The user, Dixing (Dex) Xu, contributed primarily to the Hyperledger Fabric Python SDK by implementing core functionalities. The commits demonstrate work on crypto functions, including signing and verification, and adding methods for querying blocks and chain information. The user also implemented support for the discovery API within the channel module. In addition, the user added chaincode instantiation and invoke functionalities with related testing and updated the tutorial documentation.
hyperledgerpythonfabricpython-fabricblockchain
ZhengyaoJiang/PGPortfolio
Nov 2017 - Jun 2018
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Role in this project:ML Engineer
ML EngineerContributions:16 commits, 3 PRs, 11 pushes in 7 months
Contributions summary:Dixing primarily contributed to the development and maintenance of a deep reinforcement learning framework for financial portfolio management. Their work involved fixing bugs in the implementation of core algorithms, such as the mu calculation within the NNAgent. They also addressed variable naming issues and output layer configurations within the neural network components. Further contributions include reverting a bug fix, implying active debugging and model refinement.
financialpolicyarxivpdfportfolio-management
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