# Yunyang Lu

> Computer Engineering Master‘s Student at Columbia University

Location: New York, New York, United States
Profile: https://flows.cv/yunyang

## Work Experience
### Software Engineer/Research Assistant(Machine Learning & Reinforcement learning) @ Columbia Engineering
Jan 2025 – Present | New York, New York, United States
• Designed and implemented zero-shot behavior planning models using bi-simulation techniques, enabling agents to act without demonstrations, reward models, or pre-trained weights.
• Developed action-sequence generation algorithms for dynamic object manipulation (e.g., block navigation), improving planning efficiency by 58% in point-maze scenarios.
• Containerized workflows with Docker and automated experiment management, ensuring reproducibility and scalability for lab research and downstream applications.

### Software Engineer Intern - Fullstack @ Meetfood
Jan 2025 – Jan 2025 | Los Angeles, California, United States
• Engineered a cross-platform mobile app for discovering nearby restaurants and food, collaborating with designers, PMs, and
developers to ensure a seamless, engaging user experience.
• Designed and constructed backend infrastructure, architecting system via AWS services (EC2, S3, Cognito, CDN), model
design, and API design to ensure scalability and reliability.
• Implemented and managed 12+ RESTful APIs supporting core functionalities like video uploading and registration using
Express.js, Node.js, and MongoDB.
• Refactored video API by compression with AWS MediaConvert, reducing the S3 storage and API latency by 30%.
• Created 8+ dynamic and responsive front-end components with React Native and TypeScript, including camera
integration and reusable components, enhancing development productivity by 20%.

### Software Engineer Intern (Data Science & Machine Learning focused) @ Global AI
Jan 2023 – Jan 2023
Spearheaded a systematic exploration of the AI system life-cycle, mastering stages from data collection to model evaluation, which provided a holistic view of the machine learning industry.
Acquired hands-on experience with time-series data forecasting, web scraping with python for data collection, and statistical analysis for feature engineering, leading to a comprehensive grasp of machine learning models.
Concluded reports summarizing machine learning theses, tests on data preprocessing based on dataset statistics, and evaluations of different models and hyperparameters.


## Education
### Master of Science - MS in Computer Engineering
Columbia University

### undergraduate in Engineering
University of Alberta


## Contact & Social
- LinkedIn: https://linkedin.com/in/yunyang-lu-02

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Source: https://flows.cv/yunyang
JSON Resume: https://flows.cv/yunyang/resume.json
Last updated: 2026-04-13