I am a graduate student at Duke University (May 2027) with a background in Software Engineering and Data Science. I specialize in building scalable microservices, real-time data pipelines and fine-tuning LLMs for production environments.
- 🔭 Currently working on: Data Engineering @ Syngenta.
- ⚡ Past Experience: Software Engineering Intern @ SANY, Risk Management @ Alibaba.
- 🎓 Education: M.S. CS @ Duke (4.0/4.0), B.S. Data Science @ Duke.
🏗 Study Group Matcher (Backend/SDE)
FastAPI | PostgreSQL | Docker | AWS
- Built an async microservice for course-specific student matching with indexed relational schemas.
- Implemented 25+ async unit tests (80% coverage) and automated deployment via CI/CD to AWS EC2/ECS.
- Configured CloudWatch metrics and alarms for system observability.
🛡 CrowdScreen (Full-Stack/SDE)
Nuxt 3 | Socket.IO | MongoDB | Kubernetes
- Designed a live content moderation queue with a real-time rules engine.
- Integrated Playwright E2E testing and gated PRs using GitHub Actions.
- Orchestrated container deployment using Kubernetes manifests.
📈 iPhone 14 Sentiment Pipeline (Data Science/ML)
BERT | PyTorch | Tableau
- Fine-tuned BERT for sequence classification on 126k tweets (F1 = 0.89).
- Published results in ICIHCS conference proceedings.
- Automated data ingestion and cleaning for stakeholder-ready Tableau dashboards.
"Turning complex data into actionable code."