Backend-focused developer with experience in AI research, cloud infrastructure, and data-driven services. I enjoy building scalable backend systems and intelligent platforms that combine software engineering with real-world data.

• 🎓 M.S. in Computer Engineering (AI / Edge Computing Research)
• 🔍 Research experience in multimodal object detection and anomaly detection systems
• ☁️ Experience in cloud-based backend services and CI/CD pipelines
• 💳 Built a MyData-based financial product recommendation service
• 🤖 Currently exploring RAG and LLM-powered applications

Backend

• Java, Spring Boot
• Python, FastAPI
• REST API design

Database

• MySQL, PostgreSQL
• Redis

AI / Data

• PyTorch
• TensorFlow
• LangChain / RAG

Cloud / DevOps

• AWS (EC2, RDS)
• Docker
• Jenkins
• GitHub Actions

Backend service that recommends financial products based on user consumption patterns.

Key features

• MyData aggregation and financial profile analysis
• Recommendation logic using weighted scoring
• REST API backend with Spring Boot
• CI/CD pipeline using Docker + Jenkins + AWS EC2

🔗 https://github.com/chiwonpark9/fintech-mydata-recommendation

Research project for detecting small objects in low-visibility environments using multimodal data.

Highlights

• RGB + thermal image fusion
• Deep learning object detection model
• Edge computing system integration

🔗 https://github.com/chiwonpark9/multimodal-small-object-detection

Experiments and study notes on building Retrieval-Augmented Generation systems.

Topics explored

• LangChain pipelines
• Vector databases
• LLM-based document QA

🔗 https://github.com/chiwonpark9/rag-langchain-lab

📄 Portfolio: https://www.notion.so/Chiwon-s-Portfolio-2db5543cd951802e8c87f4bf7b8aef48?source=copy_link

• Email: chiwonpark9@gmail.com
• GitHub: https://github.com/chiwonpark9