High-Performance Distributed Systems | Core AI Backend System | Patentable R&D
Welcome to my GitHub. I am a Backend Developer/Systems Architect with 7+ years of experience, specializing in high-performance distributed backends required to scale AI applications, LLM pipelines, and serverless RAG architectures.
- Scale Through Software: Breaking hardware concurrency limits via multi-worker paradigms and asynchronous event-driven architectures.
- Algorithmic R&D: Invented and patented machine learning (Reinforcement Learning) for distributed network routing to optimize spatial occlusion and slash egress bandwidth.
- Core AI Backend: Bridging real-time streaming protocols with AI inference engines without compromising system stability at an enterprise scale.
- Iron Counsel (Serverless RAG Architecture) Architected an end-to-end Retrieval-Augmented Generation backend utilizing LangChain and GCP Firestore's native KNN vector search (384-dimensional embeddings). Automated via a zero-touch Terraform and GitHub Actions CI/CD pipeline, deploying to GCP Cloud Run.
- Enterprise FastAPI Boilerplate (16+ ⭐) Authored a high-performance, asynchronous RESTful microservice template (FastAPI, Motor, uv) designed as a foundational backend standard for highly concurrent environments.
- US-20250363378-A1: Invented a distributed network routing architecture utilizing Reinforcement Learning to evaluate spatial occlusion dynamically.
- US-20250240262-A1: Engineered network optimization algorithms (Zone-based message culling, dead reckoning) that successfully slashed distributed system network egress bandwidth by up to 80%.
- Languages: Python, C++, Golang, Elixir, SQL, TypeScript
- System Architecture: Distributed Systems, Event-Driven Architecture, Domain-Driven Design (DDD), Microservices, Backend-For-Frontend (BFF)
- AI & Data: FastAPI, LangChain, TensorFlow, PyTorch, PostgreSQL, MongoDB, Redis
- Infrastructure & Protocol: AWS, GCP, Docker, Kubernetes, Terraform (IaC), WebRTC, gRPC
- How I Finally Removed GitHub’s Persistent “Ghost Notification” — The Real Fix With GitHub CLI
- Multiprocessing, Multithreading and Asyncio in Python Part 1 - Basic Concept
- Sync Obsidian / Joplin Data Across Multiple Devices with Synology WebDAV
- Managing Pre-existing Global NPM Packages After Installing NVM
- Pyenv Notes



