Lamhot Siagian

About

Lamhot Siagian works in AI engineering, AI automation & agents and ML & data science, based in Sunnyvale, CA, US. Full Stack AI Systems Architect | iOS Developer| GenAI, Agentic RAG & AI Agents | LLMOps | MLOps | AI Workflow Automation. Public projects on GitHub include Rag Techniques Playbook (A comprehensive catalog of 34 Retrieval-Augmented Generation (RAG) techniques), Llm System Design (A production-grade LLM System Design platform & interactive lab) and Langchain Local Rag Qa Handbook (A 100% local Question Answering (QA) system built with LangChain RAG), mostly written in Python, TypeScript and HTML.

Projects 6

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  Rag Techniques Playbook

  A comprehensive catalog of 34 Retrieval-Augmented Generation (RAG) techniques. Features Python pseudocode, pros/cons, and architecture concepts ranging from basic retrieval to advanced agentic RAG, GraphRAG, and self-correcting workflows.

  github.com
• github.com

  Llm System Design

  A production-grade LLM System Design platform & interactive lab. Features a pure-Python LLM serving, RAG, routing, safety, and agent control plane (150+ offline tests) plus a LangChain + Streamlit UI with local Ollama models.

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  Langchain Local Rag Qa Handbook

  A 100% local Question Answering (QA) system built with LangChain RAG. This project loads a QA handbook PDF, creates embeddings locally, stores them in FAISS, and answers questions using a local LLM via Ollama.

  github.com
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  Ai Ml Evaluation

  The runnable companion to the ebook Cracking AI & ML Evaluation System Design Interviews.

  github.com
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  Fde 2026 Companion

  Companion to Cracking the Forward Deployed AI Engineer Interview (2026 edition).

  github.com
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  softwaretestarchitect.com

  Free QA/SDET interview prep platform with role-based questions, testing lessons, roadmaps, and automation resources for Software Test Architects.

  github.com