Resume

Basic Information

Date of Birth

1995-08-12

Email

765984881@qq.com, 2021223075161@alu.scu.edu.cn

Position

MLsys - Embodied Intelligence - AI - Robotics Engineer

Expected Salary

25k-30k/mo

Hometown

Xianning, Hubei

Current City

Shenzhen, Guangdong

Education

2021.09 - 2024.07

Sichuan University

Master's Degree · Materials and Chemical Engineering

College of Chemical Engineering

  • 2021-2022 University Second-Class Academic Scholarship
  • 2022-2023 University Second-Class Academic Scholarship
  • 2023-2024 University Second-Class Academic Scholarship
2014.09 - 2018.07

Jinzhong University

Bachelor's Degree · Applied Chemistry

College of Chemistry and Chemical Engineering

2011.09 - 2014.07

Tongshan County No.1 High School

High School

Work Experience

2025.08 - Present

Shanghai MicroPort Software Co., Ltd. Shenzhen Branch

Python Backend Developer

2024.07 - 2025.06

Hainan Xin Zhujiang Human Resources Development & Management Co., Ltd.

Large Language Model Algorithm Engineer (2024.07 - 2024.09), Front-end Development Engineer (2024.09 - 2025.06)

2021.05 - 2021.12

Wenjia Education, etc.

Graduate Entrance Exam Subject Tutor

2021.05 - 2021.12

Guangzhou Lizhi Education Technology Co., Ltd., Yousi Tutoring, etc.

Math Teacher

2019.09 - 2021.05

Others (e.g., Unemployed, Preparing for Exams at Home, etc.)

2018.07 - 2019.09

Real Estate Consultant / Environmental Engineer / Hotel Receptionist / Game Booster

Professional Skills

MLsys / AI Infrastructure

PythonPyTorchSGLangvLLM / vLLM-KunlunCUDAInference DebuggingEnvironment Diagnostics

Languages

PythonC++GoTypeScript

Infrastructure and Engineering

KubernetesDockerLinuxGit

Supplementary Web Engineering

VueJavaScriptSpring BootMySQLNginxElement-UIVant

Self-Evaluation

Scored 502 in the College Entrance Exam. Undergraduate GPA: 2.9/4, ranked 45/50. Graduate Entrance Exam: 263 in 2020 and 400 in 2021 (8th/120), Mathematics II: 141 (1st/120). Graduate GPA: 3.5/4, top 30%. During my graduate studies, I primarily focused on research at the intersection of AI and lithium-ion batteries (LiBs). As the first author, I published two papers in Energy and Applied Energy, both Q1 journals in CAS and JCR. Throughout my master's studies, I developed the ability to independently conduct interdisciplinary research. After completing my master's degree, I have continued to build hands-on experience in AI systems engineering and open-source collaboration. I am passionate about using AI to build everything from inference systems to embodied robots, and my current interests include embodied AI, robotics, inference acceleration, AI infrastructure, and C++.

Publications

  1. Lidang Jiang, Zhuoxiang Li, Changyan Hu, Junxiong Chen, Qingsong Huang, Ge He. "A Robust Adapted Flexible Parallel Neural Network Architecture for Early Prediction of Lithium Battery Lifespan." Energy, 308:132840, 2024.

    IF=9.3 DOI PDF
  2. Lidang Jiang, Changyan Hu, Sibei Ji, Hang Zhao, Junxiong Chen, Ge He. "Generating Comprehensive Lithium Battery Charging Data with Generative AI." Applied Energy, 377:124604, 2025.

    IF=10.9 DOI PDF