AI · Quant · Backend · Infrastructure

Engineering AI Systems & Technical Infrastructure

Personal technical blog focused on AI applications, knowledge graphs, backend systems, quantitative trading, large language models, and software engineering workflows.

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Featured Topics

AI + Knowledge Graph

NLP extraction, graph reasoning, semantic matching, and engineering data association systems.

LLM NLP Knowledge Graph

Quantitative Trading

ETF arbitrage, pair trading, market structure analysis, and statistical learning strategies.

Quant ETF Trading

Backend Engineering

Distributed systems, API services, containerized deployment, automation, and engineering tooling.

Java Python Cloud Native

GitHub & Open Source

Forked Repositories

Curated forks and experiments related to AI tooling, inference frameworks, developer productivity, and engineering infrastructure.

LLM Engineering

Researching practical workflows for large language models, local inference, prompt engineering, and AI-assisted software development.

Developer Automation

Deployment automation, scripting, network engineering, and infrastructure tooling.

About

Software engineer and AI application architect focused on backend systems, engineering intelligence, quantitative research, and applied large language models.

Current interests include semantic matching systems, explainable statistical learning, AI-assisted engineering workflows, and scalable infrastructure design.

GitHub: github.com/wanggghere