🚀 Data Engineer | Backend Engineer | Full-Stack Developer 🎓 CS & Math @ Dickinson College (GPA: 4.0)
🎓 I'm a Computer Science & Mathematics student at Dickinson College (GPA: 4.0)
🚀 Passionate about building scalable data systems, backend infrastructure, and user-facing applications
💡 Experienced in Data Engineering, Distributed Systems, and Full-stack Development
📍 Previously interned at Meta, Viettel, Nacencomm, and Gimasys
🏆 I enjoy Competitive Programming and solving algorithmic problems
📂 Check out my solutions:
👉 https://github.com/QuangPhung15/CompetitiveProgramming
- ⚡ Reduced manual RCA time by 70% by building an automated failure diagnosis chatbot
- 💰 Cut pipeline costs by 35% via optimized deduplication strategy
- 📊 Built a multi-dimensional data cube improving query speed by 30%
- ✅ Ensured 100% data integrity for Ads metrics pipelines
- ⚡ Improved query performance by 50% using real-time data architecture (Kafka, Spark, Hadoop)
- 🚀 Introduced Apache Doris → boosted analytics speed by 30%
- 🏆 Top 10% (40/400) in Viettel Digital Talent Program
- 👥 Supported 50,000+ daily users with secure authentication system
- 📦 Built features driving 100,000+ orders
- 📱 Developed mobile app reducing onboarding friction by 30%
- 🔄 Processed 1M+ daily records across systems
- ⚡ Reduced API calls by 90%
✈️ Built real-time flight data integration system
- Built pipeline to process 3.5K+ books metadata
- Designed system to fix broken URLs across 1M books
- Improved frontend scalability with modular CSS
👉 https://github.com/QuangPhung15/openlibrary
- Achieved 98% accuracy using deep learning (TensorFlow, Keras)
- Trained on 500,000+ samples
👉 https://github.com/QuangPhung15/Sign_Language_Detection
- Interactive web-based word game
👉 https://github.com/QuangPhung15/Word-Connection-Game
- Large-scale data systems & pipelines
- Distributed systems & real-time processing
- Backend infrastructure
- Applied machine learning
⭐️ Always open to collaborating on impactful projects and solving challenging engineering problems!