Rezha Ikhwan Hidayat

Informatics graduate and AI Engineer with hands-on experience designing end-to-end artificial intelligence systems, from deep learning model training to Generative AI orchestration. Proficient in building autonomous AI Agents and RAG architectures using LangChain, LangGraph, and workflow automation (n8n). Adept at integrating AI solutions with backend services (Node.js, fast API) and deploying scalable infrastructure using Google Cloud Console (Vertex AI) and Docker to solve complex operational business challenges.

AI Engineer Intern at PT LinkIT360 (2025-10 – 2025-12)

• RAG System & Document Intelligence: Developed a RAG system for HR document intelligence using FAISS and LLM APIs, optimizing embedding retrieval logic to ensure accurate and context-aware responses.
• Workflow Automation (n8n): Designed and deployed a WhatsApp-based AI Agent via n8n, integrating third-party APIs to autonomously process customer interactions, recommend products, and generate payment codes.
• Automated Data Reporting: Built an AI pipeline for operational report analysis capable of generating direct data visualizations (KPI charts, complaint metrics) from the company database.

Machine Learning Cohort at Bangkit Academy (2024-08 – 2025-01)

• Capstone AI Engineer & Team Lead: Led the development team using agile methodologies from the prototyping phase, while acting as the primary technical executor in building the architecture and training artificial intelligence models.
• Model Training & Optimization: Took full responsibility for training a Transfer Learning model (VGG16) for plant disease detection, effectively addressing high data variance challenges and achieving 94% validation accuracy.
• Deployment Integration: Containerized and deployed the trained deep learning model into a Flask backend (REST API), ensuring smooth and scalable inference for an Android application.

Bachelor of Informatics in Data Science – Universitas AMIKOM Yogyakarta (2022 – 2026)