AI Engineer specialized in Multi-Agent Systems, Semantic Layers, Advanced RAG, and LLMs in production. I share system architectures, performance optimizations, and practical builds to take artificial intelligence from theory to real-world impact.
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Get inspired through deep-dive articles and real-world engineering builds. Learn by designing and shipping end-to-end AI solutions and discover new ways to tackle day-to-day engineering challenges.
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Articles and deep-dives on data, system architecture, and AI
Learn how the DeepSeek R1 model works and its components such as Chain of Thought, Reinforcement Learning, Reward Modeling, and Distillation
Discover how to save costs using LLM with semantic cache implementing it with LangChain and Redis, comparison, pros and cons and common errors
Learn how to run LLM models locally using Docker Model Runner and LangChain. A beginner-friendly guide to getting started with local LLMs in under 10 minutes, without complex setups or expensive hardware.
Production systems and projects I am proud of
Educational role-play platform powered by AI agents to train mediation, communication, and conflict resolution in school environments.
Marbella Vice data collection and analysis project using Twitch API, data visualization and content generation
Project of a graphics engine developed in C++ using OpenGL (render-agnostic) incorporating the latest graphics development technologies.
Short notes and micro-posts with quick tips on code, engineering, and AI reflections.
