About
About
Backend and database engineering experience with ongoing AI/RAG backend practice, focusing on the full path from data and APIs to deployment, logs, monitoring, and operations.
Direction
This site is my personal project lab and technical review archive. It records backend engineering, database practice, AI/RAG experiments, deployment, observability, and tooling notes.
Experience
Nearly 3 years of database support and backend-related work, with practical experience in deployment, monitoring, logs, load testing, database inspection, and operations support.
Stack
Technical Stack
Backend, databases, and AI/RAG engineering.
Python for backend services, data workflows, scripts, and AI/RAG project practice.
API design, data models, validation, async tasks, and maintainable service structure.
Database inspection, DDL maintenance, stored procedures, cache usage, and data issue diagnosis.
RAG, vector search, task orchestration, evaluation, tracing, and AI backend implementation.
Deployment, environment configuration, CI/CD, log troubleshooting, and basic cloud resources.
Metrics, logs, dashboards, and runtime visibility after deployment.