Writing about AI products, backend engineering, and real-world lessons from building and scaling software.
Published on 2026-07-21
How I built GapFoundry: an AI competitive research platform that automates market gap analysis with cited reports and interactive follow-up. Includes full demo.
Published on 2026-07-21
How I built and shipped Tyvur: a live AI interview practice platform with voice, personalized feedback, and a full production stack. Includes a complete product demo.
Published on 2026-06-18
Context windows, short-term state, long-term retrieval, RAG, and the memory architectures that separate demo chatbots from production AI systems.
Published on 2026-06-10
The final part of a practical deep dive into LLMs - reasoning, mixture of experts, multimodal models, and how LLMs become AI agents that plan, use tools, and execute.
Published on 2026-05-29
The second part of a practical deep dive into LLMs - parameters, inference, context windows, hallucinations, retrieval augmented generation, and fine-tuning.
Published on 2026-04-30
The first part of a practical deep dive into LLMs - from next-token prediction and tokenization through embeddings, attention, transformer blocks, and training.
Published on 2026-04-11
Learn how to design backend systems that handle multiple AI requests efficiently without crashing, slowing down, or burning unnecessary compute.
Published on 2026-03-04
What building Tyvur taught me about product reality, validation, and why good engineering alone is not enough.
Published on 2026-02-11
A personal story of how coding became more than a job, and why I am looking to work with global teams that value ownership, clean systems, and real problem solving.