Muhammad Iqbal Hilmy Izzulhaq

Led GenAI curriculum and delivered hands-on projects for 100+ enterprise professionals, covering production LLM workflows, RAG, prompt engineering, and agent design patterns. Enabled non-technical business teams to design and deploy internal AI agents using n8n, Zapier, and Dify for operational automation with documented productivity gains.

Built and deployed a RAG system using Dify.AI and n8n to retrieve and summarize Indonesian legal documents via conversational UI, reducing manual research time by ~70%. Developed an NLP pipeline (topic modeling and entity extraction) on Constitutional Court verdicts to identify recurring issues and forecast ruling trends, and shipped SUSENAS socioeconomic dashboards to support legislative policy r

Earned a Bachelor of Science in Physics with a focus on material science, covering foundational and specialized physics coursework.

Completed the IBM AI Engineer Professional Certificate covering fine-tuning and deployment of deep learning and LLM models with PyTorch, TensorFlow, and Keras, including transformer architectures and NLP. Capstone work built a LangChain + RAG application.

Completed AWS training on Generative AI with Large Language Models covering transformer architectures, RLHF, prompt engineering, and production LLM deployment on AWS.

Completed a hands-on Professional Data Science & Machine Learning program covering the full ML lifecycle, including preprocessing, modeling, evaluation, and deployment.

Completed the IBM Data Science Professional Certificate covering the end-to-end data science workflow in Python and SQL, including ingestion, cleaning, EDA, visualization, and ML pipeline development.