Build an End-to-End RAG System for Your Portfolio
Learn to build a production-style RAG pipeline that demonstrates end-to-end systems engineering, from data ingestion to API serving.
Rag
Building a Production-Grade RAG Pipeline: A Hands-On Portfolio Project That Signals Real Systems Skill
Move beyond the generic FAISS + LangChain + OpenAI tutorial. This guide walks you through building a multi-stage RAG pipeline with hybrid retrieval, cross-encoder re-ranking, and automated evaluation — the kind of project that signals real systems skill on a CV.
Build an HNSW Vector Index from Scratch in Python for RAG
Build an HNSW graph vector index from scratch in pure Python and integrate it into a RAG pipeline. This hands-on guide covers the full implementation, testing, and a roadmap to production-grade features.
Building and Evaluating Agents: A Production Engineer's Playbook
Most LLM agent demos die in production because teams skip the boring parts: tool contracts, eval harnesses, and observability. This post walks through the architecture, patterns, and evaluation loops that turn a clever prototype into a system you can actually operate.
Agentic AI in Production: How Autonomous Agents Are Rewiring the Stack
Agentic AI is the shift from one-shot prompting to autonomous loops that plan, call tools, observe results, and recover from failure. This guide walks through the core loop, the production patterns, and the infrastructure that makes agents viable at scale.