Date of Birth: August 12, 1995
Phone: +86 15307241568
Email: 2021223075161@alu.scu.edu.cn, 765984881@qq.com
Position: Algorithm & Frontend-Backend Full Stack Development Engineer
Salary Expectation: 25k-30k/mo
Location: From Xianning, Hubei Province, currently living in Shenzhen, Guangdong Province
Homepage: https://lidang-jiang.github.io/
Education
Sichuan University, Master’s Degree (2021.09 - 2024.07)
College of Chemical Engineering, Materials and Chemical Engineering
- University Second-class Academic Scholarship, Academic Year 2021 - 2022
- University Second-class Academic Scholarship, Academic Year 2022 - 2023
- University Second-class Academic Scholarship, Academic Year 2023 - 2024
Jinzhong University, Bachelor’s Degree (2014.09 - 2018.07)
College of Chemistry and Chemical Engineering, Applied Chemistry
Tongshan County No.1 High School (2011.09 - 2014.07)
Self-Evaluation
Scored 502 in 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 are Q1 journals in CAS and JCR rankings). Throughout my master’s studies, I developed the ability to independently conduct interdisciplinary research.
After completing my master’s degree, I have built hands-on engineering skills in both AI and full-stack web development (using frameworks like Vue and Spring Boot). My current research interests include AI4Science, Agents, Generative AI, Deep Learning, LLMs, and MLsys.
Publications
Jiang, Lidang, et al. “A Robust Adapted Flexible Parallel Neural Network Architecture for Early Prediction of Lithium Battery Lifespan.” Energy, 308:132840, 2024. (IF=8.8)
Jiang, Lidang, et al. “Generating Comprehensive Lithium Battery Charging Data with Generative AI.” Applied Energy, 377:124604, 2025. (IF=11.2)
Professional Skills
- AI Infrastructure & LLM:
- Frameworks & Tools: Familiar with PyTorch deep learning framework; proficient in vLLM inference framework usage and basic principles;
- Testing & Optimization: Skilled in using vllm-bench for inference performance benchmarking; using EvalScope for model accuracy evaluation; familiar with RAG and other AI application development.
- Programming Languages (by proficiency):
- Proficient: Python (core language), Vue2 / JavaScript (capable of complex front-end component development).
- Basic: C++, Java, SQL, SpringBoot.
- Full-Stack Development:
- Front-end: Vue2, Element-UI, Vant, ECharts.
- Back-end & DevOps: Spring Boot (basic API development), MySQL, Nginx, Docker, Linux.
- General Tools: Git version control, LaTeX document typesetting, VS Code, etc.
Work Experience
Shanghai MicroPort Software Co., Ltd. Shenzhen Branch, Python Backend Developer
2025.08 - Present
Hainan Xin Zhujiang Human Resources Development & Management Co., Ltd.
2024.07 - 2025.06
- Large Language Model Algorithm Engineer (2024.07 - 2024.09)
- Front-end Development Engineer (2024.09 - 2025.06)
Wenjia Education, etc., Graduate Entrance Exam Subject Tutor
2021.05 - 2021.12
Guangzhou Lizhi Education Technology Co., Ltd., Yousi Tutoring, etc., Math Teacher
2021.05 - 2021.12
Others (e.g., Unemployed, Preparing for Exams at Home, etc.)
2019.09 - 2021.05
Real Estate Consultant, Environmental Engineer, Hotel Receptionist, Game Booster
2018.07 - 2019.09