PROFESSIONAL SUMMARY

Experienced Computer Science researcher with a strong background in distributed machine learning systems, blockchain technologies, and collaborative learning. Proven track record in academia and industry with multiple publications and contributions to significant projects.
Looking to leverage my technical expertise and research skills in a challenging environment.

Academia

• Hong Kong Baptist University Hong Kong

  • Research Assistant 2020.10-2021.11

    • Worked with Prof. Xiaowen Chu on distributed machine learning systems and blockchain systems.

• Zhejiang University Hangzhou, China

  • Visiting Student Researcher 2019.09-2020.03

    • Worked with Prof. Peng Cheng on machine learning and security.

• Nanyang Technological University Singapore

  • Research Assistant 2019.03-2019.08

    • Worked with Prof. Rui Tan on collaborative learning, Internet of Things (IoT) and Privacy.

• Xi’an Jiaotong-Liverpool University Suzhou, China

  • Research Assistant 2016.11-2018.08

    • Worked with Dr. Jinjun Liang on Portfolio Management. [Media(CN)]

  • Summer Undergraduate Research Fellow 2017.06-2017.08

    • Worked with Prof. Steven Guan on Style Transfer Learning with Generative Adversarial Networks.

Industry

• HexTrust Remote

  • Software Development Engineer 2022.04-2024.08

    • HexAdmin Backend Development (Golang)
    • HTM(Markets) Backend Development (Rust, Golang, NodeJS)
    • HTM(Markets) Infrastructure (Terraform, Kubernetes, Nginx)

• The Linux Foundation Remote

  • Software Development Engineer (Blockchain) Internship 2020.06-2020.12

    • Part-time intern for Hyperledger Cello. [Project]

  • Software Development Engineer (Blockchain) Internship 2018.06-2018.11

    • Part-time intern for Hyperledger Fabric Python SDK. [Project]
    • Worked with Dr. Baohua Yang. [Media(EN)] [Media(CN)]

• Hyperledger Remote

  • Mentor 2021.03-2021.11

    • Mentor for Support Decentralized Governance for Smart Contracts in Fabric Python SDK [Project]

  • Mentor 2020.03-2020.11

    • Mentor for Add interactive examples to Fabric Python SDK [Project]

  • Software Maintainer 2018.09-2024.06

    • Maintainer of Hyperledger Fabric Python SDK. [Project]

HONORS & AWARDS

2020.05 2nd Prize, 2020 XJTLU Block-chain Technology Application Innovation & Entrepreneurship Challenge
2019.12 Hyperledger Diversity Scholarship

• attends Hyperledger Global Forum 2020 in Phoenix, AZ

2018.09 CNCF Diversity Scholarship

• attends KubeCon + CloudNativeCon China 2018 in Shanghai
• represents Asian students
• recognized for open source contribution

2018.09 Special Prize (US$10,000) by QTUM, Wanxiang Blockchain Hackathon [Source Code]

• Awarded to only 1 of more than 20 groups all over the world.
• Implemented atomic swap infrastructure between qtum & BTC, also atomic swamp between qtum and qrc20 tokens
• DApp for house sharing (demo with raspberry pi)

2018.07 1st Prize, 2018 EOS Hackathon Hangzhou (Team) [Source Code]
2018.07 3rd Prize, 2018 EOS Hackathon Hangzhou (Personal)
2018.07 3rd Prize, DoraHacks x BCH Faith Hack

• Build a decentralized non-fungible token atomic swap protocol for bitcoin cash (compatible with bitcoin)

2018.06 2nd Prize, 2018 XJTLU & PNP AI Innovation Hackathon

• Build a tokenized crypto-trading AI platform.

2018.04 2017 IBM Student Innovation Lab Program Award
2017.11 1st Prize, Hack x FDU 2017 Hackathon [Source Code]

• Awarded to the top 1 of more than 70 groups from colleges nationwide. [Media(CN)]
• Built a decentralized house renting platform using blockchain and IoT. Details: [Project Page]

PUBLICATIONS

2020 Dixing Xu, Mengyao Zheng, Linshan Jiang, Chaojie Gu, Rui Tan, and Peng Cheng. Lightweight and unobtrusive data obfuscation at iot edge for remote inference. IEEE Internet of Things Journal, 2020
2019 Mengyao Zheng, Dixing Xu, Linshan Jiang, Chaojie Gu, Rui Tan, and Peng Cheng. Challenges of privacy-preserving machine learning in iot. In Proceedings of the First International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, pages 1–7. ACM, 2019

MANUSCRIPTS

2017 Zhengyao Jiang, Dixing Xu, and Jinjun Liang. A deep reinforcement learning framework for the financial portfolio management problem. arXiv preprint arXiv:1706.10059, 2017