**Celia Lyu**
celialyu1024@gmail.com | +1 (984) 377-9787 | LinkedIn

### **SUMMARY**
Experienced software engineer delivering reliable and scalable systems at Twitter and TikTok. Seeking an engineer role, leveraging proven software engineering experience and a passion for AI/ML.

### **EDUCATION**
**Duke University**
MSc in Econ & Computation (Computer Science Concentration) | GPA: 3.90/4.0 | Top 10% | Faculty Scholar (every year)
*08/2020 – 05/2023*

**Chinese University of Hong Kong**
Dual Degrees: BEng in Information Engineering & BBA | GPA: 3.65/4.0 | Top 5% | Dean’s List (every year)
*09/2014 – 05/2020*

### **EXPERIENCE**
**Stealth Startup** – *Greenbelt, Maryland*
*Full-stack Software Engineer | 06/2023 – Present*
- Built user interfaces for iOS (Swift/SwiftUI) and web apps (ReactJS, D3, Tailwind CSS) with Node.js backend.
- Developed RESTful sites using Django, MongoDB, and Firestore; implemented OAuth for authorization.
- Enhanced search with Elasticsearch on AWS EC2.
- Scaled microservices using Jenkins CI/CD, Docker, and AWS EKS, reducing work time by >30%.

**Twitter** – *San Francisco, California*
*Engineering Intern (Machine Learning Focus) | 05/2022 – 08/2022*
- Transitioned ML production lifecycle using GCP BigQuery and led software design reviews.
- Optimized recommender system via A/B testing and Apache Airflow tuning.
- Built real-time anomaly detection in Python; fixed data lag via GCP Monitoring, saving >$100k.
- Automated batch processing with Apache Spark and Airflow for structured data workflows.

**TikTok (ByteDance)** – *Beijing, China*
*Full-stack Software Engineer Intern | 01/2021 – 05/2021*
- Developed ETL-based data labeling web app, cutting processing time by >90% and saving $300k/year.
- Extracted SQL data and validated ML models (one-class SVM, k-NN) in Python.
- Built Golang data pipeline for sanitization, analysis, and storage in Data Lake.
- Improved UI with ReactJS/Redux for streamlined labeling workflows.

**KuaiShou (Kwai)** – *Beijing, China*
*Back-end Software Engineer Intern | 05/2021 – 07/2021*
- Optimized recommendation microservices for 300M+ users using Java Spring Boot.
- Automated pre-testing with Python, reducing tuning time by >80%.
- Ensured reliability via Jenkins CI/CD pipelines.

### **PROJECTS**
**Transfer Learning on Time Series Data with Fisher Task Affinity**
*Deep Learning Project | Link | 11/2022 – 01/2023*
- Developed transfer learning algorithm outperforming conventional methods on large datasets.

**Predicting Airbnb Price with Machine Learning**
*Kaggle ML Competition | Link | 11/2020 – 01/2021*
- Built CatBoost/Random Forest model, ranking Top 10% (14th/142).

### **SKILLS**
**Programming:** Java, Python, SQL, Swift, JavaScript (ES6), HTML/CSS, Golang
**Frameworks/Tools:** Jenkins, Docker, Kubernetes, ReactJS, Spring Suite, Django, Node.js, Apache, Jupyter, Git
**Databases:** NoSQL (MongoDB, Firestore), SQL (Oracle, PostgreSQL), Redis
**Cloud:** AWS (EC2, S3, Lambda), GCP (BigQuery), Azure (Functions, Cosmos DB)
**Analytics:** A/B Testing, Predictive Modeling, Time Series, EDA
**Libraries:** TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy, Matplotlib
**Courses:** AI (A), Deep Learning (A+), ML (A), NLP (A), Data Structures

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