Open to opportunities

Muhammad Iqbal Hilmy Izzulhaq

@muhammadiqbalhilmyiz

AI engineer specializing in agentic LLM systems, RAG, and function-calling—shipping low-latency, cost-aware production solutions.

Indonesia

Message

What I'm looking for

I’m looking to build agentic LLM and RAG systems in production, ship measurable impact (latency, accuracy, cost), and collaborate with teams to deploy custom agents. I also enjoy evaluating models and mentoring others through hands-on delivery.

I’m an AI Engineer focused on building reliable, production-ready systems with agentic LLMs, RAG, function calling, and end-to-end ML workflows.

I work across the full lifecycle—from architecture and evaluation to deployment, monitoring, latency, and cost optimization. My focus is not just getting AI to work, but making it measurable, reliable, and practical in real-world environments.

Recent work includes building a real-time AI interview platform with ~500ms response latency that helped reduce candidate shortlisting time by 50%, as well as a churn prediction system that helped protect $48.5K in revenue. I also built a Terraform-managed financial wellness agent that reduced infrastructure costs by 95% while using structured outputs and guardrails to improve reliability and reduce hallucinations.

My experience also includes LLM evaluation and applied research. I published an independent benchmark comparing RAG and long-context approaches across 300 QA pairs, and developed a legal-document RAG system for Indonesia’s House of Representatives (DPR RI) that reduced manual research time by ~70%.

Beyond engineering, I lead GenAI training and hands-on technical sessions for 100+ enterprise professionals, helping teams move from AI concepts to systems they can actually build and use.

If you need someone who can turn an AI idea into a tested, production-ready system—with clear attention to quality, latency, cost, and business impact—I can help.

Experience

Work history, roles, and key accomplishments

Current

Mentor & Team Lead, AI Tech

Current

RevoU

Aug 2025 - Present (1 year 2 months)

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.

RAG Prompt Engineering N8n Zapier Dify GenAI Curriculum Delivery

Data Scientist Intern

DPR RI

Jan 2025 - Dec 2025 (11 months)

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

Dify.Ai RAG N8n Topic modeling Python SQL Data Visualization

Education

Degrees, certifications, and relevant coursework

University of Brawijaya

Bachelor of Science in Physics, Physics

2019 - 2023

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

International Business Machines (IBM)

AI Engineer Professional Certificate, AI Engineering / LLMs

2026 -

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.

Amazon Web Services (AWS)

Generative AI with Large Language Models, Generative AI / Large Language Models

2026 -

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

Purwadhika Digital Technology School

Professional Data Science & Machine Learning Program, Data Science & Machine Learning

2024 - 2025

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

International Business Machines (IBM)

Data Science Professional Certificate, Data Science

2026 -

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.