I am an experienced software engineer and AI enthusiast with a strong background in electrical and computer engineering. Passionate about building scalable and efficient frontend systems, I specialize in data platforms and AI-driven solutions to enhance user experiences and operational efficiency. I take pride in leading impactful projects, such as real-time quality-monitoring platforms and AI business intelligence assistants, optimizing performance, and automating testing processes. My educational journey from Tsinghua University to Carnegie Mellon University has equipped me with solid expertise in engineering and mathematics, complemented by hands-on experience in Python neural network modeling and data engineering within the automotive and energy sectors. I continuously explore innovative technologies and enjoy crafting practical applications, especially in AI and frontend development domains.

Y VETTE D

I am an experienced software engineer and AI enthusiast with a strong background in electrical and computer engineering. Passionate about building scalable and efficient frontend systems, I specialize in data platforms and AI-driven solutions to enhance user experiences and operational efficiency. I take pride in leading impactful projects, such as real-time quality-monitoring platforms and AI business intelligence assistants, optimizing performance, and automating testing processes. My educational journey from Tsinghua University to Carnegie Mellon University has equipped me with solid expertise in engineering and mathematics, complemented by hands-on experience in Python neural network modeling and data engineering within the automotive and energy sectors. I continuously explore innovative technologies and enjoy crafting practical applications, especially in AI and frontend development domains.

Available to hire

I am an experienced software engineer and AI enthusiast with a strong background in electrical and computer engineering. Passionate about building scalable and efficient frontend systems, I specialize in data platforms and AI-driven solutions to enhance user experiences and operational efficiency. I take pride in leading impactful projects, such as real-time quality-monitoring platforms and AI business intelligence assistants, optimizing performance, and automating testing processes.

My educational journey from Tsinghua University to Carnegie Mellon University has equipped me with solid expertise in engineering and mathematics, complemented by hands-on experience in Python neural network modeling and data engineering within the automotive and energy sectors. I continuously explore innovative technologies and enjoy crafting practical applications, especially in AI and frontend development domains.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Software Engineer Intern (Frontend – Data Platform Team) at Xiaomi
August 1, 2025 - September 3, 2025
Developed and owned the end-to-end frontend delivery of the automotive workshop quality-monitoring platform with 100+ daily active users. Built a real-time monitoring workbench using WebSocket for low-latency updates under concurrent multi-device usage. Optimized image pipelines for a 40% reduction in load latency enabling smooth concurrent defect annotation. Enhanced large ECharts dashboards by implementing LTTB downsampling with raw data zoom-in, improving performance. Led Playwright E2E test automation, raising code coverage from 60% to 78% and lowering regression risks. Prototyped and launched an AI BI assistant for natural-language chart creation with 10k+ daily active users internally.
AI Engineer Intern at VNET
November 1, 2023 - September 3, 2025
Built Python neural network models to predict chiller COP and cooling tower temperature, achieving over 8% energy savings. Applied adaptive algorithms to improve model robustness on non-stationary datasets. Integrated models into ZhiHang AI platform to provide real-time energy-saving recommendations across three data centers.
Data Engineer Intern at SAIC Motor
August 1, 2022 - September 3, 2025
Developed data pipelines and KPI dashboards for the Internet of Vehicles cloud platform supporting multi-dimensional vehicle business analytics. Automated data processing using Python libraries (Pandas, NumPy, Scikit-learn) to enhance visualization and reporting efficiency for cross-department teams.

Education

Master of Science at Carnegie Mellon University
January 1, 2025 - August 1, 2025
Bachelor of Engineering at Tsinghua University
September 1, 2020 - July 1, 2024
Bachelor of Science at Tsinghua University
September 1, 2020 - July 1, 2024

Qualifications

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Industry Experience

Software & Internet, Energy & Utilities, Manufacturing, Computers & Electronics, Transportation & Logistics