Summary
Lamhot Siagian is a PhD AI researcher and pragmatic AI engineer with a decade of software and ML experience, currently building measurable, safe RAG and agentic systems from evaluation through deployment. He blends hands-on work in Python, Java/TypeScript, and MLOps stacks (Docker, Kubernetes, vLLM, MLflow) with expertise in LLM orchestration tools like LangChain, LangGraph, and Microsoft AutoGen to deliver observable pipelines (regression gating, tracing, monitoring). As founder of AI Engineering Insider he automates business workflows and crafts custom GPT assistants that respect privacy and brand voice, while his academic work focuses on rigorous LLM evaluation and test automation. Comfortable across vector stores, Snowflake, and cloud platforms, he pairs research-grade evaluation (DeepEval, LangSmith, Arize) with production instincts honed at Apple, HP, and Dexcom. Notably, he combines PhD-level research with practical consulting to make advanced generative AI systems reliably ship-ready.
10 years of coding experience
7 years of employment as a software developer
Graduate Student Information Systems, Graduate Student Information Systems at BINUS University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Maharishi International University
Indonesian, English