Juan Peniel M.

Leveraging a 6-year foundation in Security and Data Engineering, I now specialize in architecting advanced Generative AI solutions. I don't just call APIs; I build self-correcting agents, scalable RAG pipelines, and secure, high-availability AI infrastructures. Core GenAI Expertise: Agentic Workflows: Designing autonomous agents using LangGraph and LangChain that can reason, plan, and execute multi-step tasks using external tools. Production RAG: Building sophisticated Retrieval-Augmented Generation pipelines with advanced context engineering and vector retrieval to ground LLMs in your private data. AI Architecture: End-to-end development of "Computer Use" models and application logic, ensuring state management and scalability in production environments. Reliability & Evals: Implementing rigorous evaluation frameworks (LLM-as-a-Judge) and optimizing prompts to ensure deterministic and accurate model behavior. Standards & Protocols: utilizing MCPs (Model Context Protocols) to standardize secure interactions between models, data, and tools. The "DevSecOps" Advantage: Unlike many AI developers, my background in Cybersecurity and DevOps means I build systems that are secure by default. I integrate guardrails, manage data privacy, and deploy robust CI/CD pipelines for AI applications. Tech Stack: Frameworks: LangChain, LangGraph, LlamaIndex. Models: OpenAI, Anthropic (Claude), Llama 3 (Fine-tuning & Deployment). Infrastructure: Python, Docker, AWS/GCP, Vector Databases (Pinecone/Chroma). Let’s build intelligent systems that actually work.