Jie Li

Jie Li

Lead Mobile Engineer

Alibaba Group

Biography

Jie Li is currently a lead mobile engineer in Alibaba Group.

He received his M.Eng. degree in School of Computer Science and Engineering from Nanyang Technological University (NTU), Singapore in 2021. He has over eight years of project experiences, not limited to software development, machine learning, blockchain and audio processing. His research interests include smart building, blockchain infrastructure. Specifically, he has worked extensively on smart building optimization by leveraging deep learning and IoT techniques. He has good experience of multi-national project management and continuous delivery, highly focusing on code quality and system optimisation. He is keen to lead and facilitate ideation of new solutions to co-create business values with can-do attitude and logical thinking.

Interests
  • Software Development
  • Artificial Intelligence
Education
  • M.Eng in Computer Science, 2020

    Nanyang Technological University

  • B.Sc in Communication Engineering, 2017

    Liaoning Technical University

Experience

 
 
 
 
 
Alibaba Group
Lead Mobile Engineer
Alibaba Group
Mar 2021 – Present Singapore

Responsibilities include:

  • Lead the replatforming of the Daraz iOS app and the Lazada iOS app. Responsible for designing and implementing the iOS architecture to support multiple apps with a single codebase using scripts
  • Ensure physical isolation of different business code to prevent the apps from containing redundant resources and only implement differentiation where necessary
  • Lead the AB test platform project, assist business domains in integrating AB testing capabilities, and establish the SOP for AB testing experiments including the design review of abtest, user behaviour data tracking verification, abtest lifecycle management and more
  • Lead the food delivery project in Bangladesh, design and review the architecture for multi-country expansion
  • Refactor of legacy Node.js backend modules, solve throughput issues (4x faster) and improve loading speed
 
 
 
 
 
Nanyang Technological University
Project Lead
Nanyang Technological University
Feb 2017 – Mar 2021 Singapore

Project Lead, Green Buildings Innovation Cluster, 01/2020 - Present

  • Lead the smart building project from proposal to project delivery, and publish five related papers and two of them are first author
  • Conduct human behaviour study by leveraging Deep Reinforcement Learning (DRL) technique, analyse the occupants thermal comfort preference and implementable recommendations for energy consumption
  • Design an algorithm based on multi-agent DRL [1] to optimise the energy-comfort tradeoff for multiple zones

Technical Lead, Micro-grid Operation on Blockchain, 03/2019 - 01/2020

  • Design the dual-token eco system on Ethereum and develop smart contracts for order matching
  • Develop backend in Node.js and web portal in React + Redux for energy trading and status monitoring

Research Assistant, Green Buildings Innovation Cluster, 04/2018 - 03/2019

  • Propose a deep learning-based method, DeepComfort [4], for smart building thermal comfort control. Tech stack includes TRNSYS, Tensorflow, React, websocket and pywinauto

Mobile Lead, HEY!Shake Social TV Engagement, 02/2017 - 04/2018

  • The app was ranked as one of the hottest apps on both iOS App Store and Google Play in Aug. 2017
  • Refactor the iOS app in Swift by reducing the amount of third-party libraries from 51 to 13, significantly improved the app running performance and diminished the size of the app from 22.1M to 3.7M
 
 
 
 
 
Nanjing Beiwan Education & Technology LTD.
iOS Intern
Nanjing Beiwan Education & Technology LTD.
Mar 2016 – Oct 2016 Singapore

Responsibilities include:

  • Deliver several refactored modules, including Punch Plan, Wordbook, Push Notification, Badge module. Crash rate was always controlled lower than 1.5%
  • Automation scripts maintenance & Took part in the code review
  • Open-sourced a component on GitHub

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