A practical place to understand AI engineering.
AI Engineering HQ is a guided collection of concepts and practical articles for engineers building software with large language models.
Start with the concepts to build a strong mental model of tokens, embeddings, parameters, inference, and fine-tuning. Focused examples, trade-offs, and lessons from applying those ideas in real systems will be added later.
Aseem Gaurav.
I’m a Principal Engineer at Microsoft, where I work on cloud-based microservices and distributed systems.
I’ve previously worked across engineering roles at Microsoft, Amazon, and Salesforce, building reliable products across frontend, backend, cloud, and mobile platforms. I enjoy sharing practical lessons about software architecture, AI engineering, and the habits that make systems easier to operate.