AI Engineer with 1+ years in Generative AI & LLM Applications
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Passionate Informatics Engineering student focused on AI Engineering, Generative AI, and intelligent software systems. Experienced in building AI-powered applications using Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and modern AI frameworks such as LangChain. Through academic projects, technical mentorship, and self-initiated products, I enjoy transforming AI capabilities into practical solutions for education, productivity, local communities, and businesses. Eager to contribute, learn, and experiment with emerging AI technologies in real-world environments.
STMIK Widya Cipta Dharma
Bachelor's Degree · Informatics Engineering
September 1, 2023 – Present
Indosat Ooredoo Hutchison
Data Scientist Facilitator
January 1, 2026 – March 1, 2026
Indonesia
Dicoding Indonesia
External Code Reviewer (Dicoding Elite)
November 1, 2025 – Present
Indonesia
Google Cloud
Google Cloud Arcade Facilitator
July 1, 2025 – September 1, 2025
Indonesia
STMIK Widya Cipta Dharma
Laboratory Assistant
March 1, 2025 – Present
Samarinda, East Kalimantan, Indonesia
Indosat Ooredoo Hutchison
Data Scientist Facilitator
January 1, 2025 – April 1, 2025
Indonesia
Digital Talent Scholarship Program
Student Mentor
October 1, 2024 – December 1, 2024
Indonesia
VoiceInvoice - AI Voice Cashier
May 1, 2026 – June 1, 2026
Offline-first voice-to-receipt application for traditional merchants and small businesses. Designed a hands-free, offline-first transaction recording experience for merchants using multimodal AI Focused on accessibility and simplicity, adapting product design to real-world user constraints
Chatbot RAG Asisten Akademik
April 1, 2026 – May 1, 2026
AI-powered academic assistant helping students access university information more efficiently. Built a Retrieval-Augmented Generation (RAG) chatbot for academic information assistance Implemented document retrieval pipelines and LLM-based response generation Designed evaluation workflows to assess retrieval quality and answer accuracy
Life OS
January 1, 2026 – Present
AI-powered personal assistant platform designed to explore real-world AI engineering, automation, and agentic workflows. Built finance tracking MVP using natural language transaction logging and receipt processing Integrated LLM-powered workflows through Telegram for conversational interactions Designed modular multi-agent architecture for future health, fitness, and productivity automation
Sentinel - Predictive Maintenance Copilot
August 1, 2025 – December 1, 2025
Enterprise-grade predictive maintenance system with multi-agent AI architecture Led development of an AI-powered predictive maintenance platform Collaborated on machine learning, backend, frontend, and AI system integration Designed multi-agent workflows to support maintenance diagnostics and recommendations
Samarinda Food Chatbot
August 1, 2025 – May 1, 2026
AI-powered restaurant recommendation platform built from local food content. Built a RAG-powered restaurant recommendation chatbot covering 900+ restaurants Developed data ingestion and retrieval pipelines from local food content Explored conversational search experiences using LLM-based recommendations
Build Real World AI Applications with Gemini and Imagen
Google Cloud Skills Boost
January 1, 2025 – Present
Prompt Design in Vertex AI
Google Cloud Skills Boost
January 1, 2025 – Present
Develop GenAI Apps with Gemini and Streamlit
Google Cloud Skills Boost
January 1, 2025 – Present
Applied Machine Learning
Dicoding
January 1, 2024 – Present
Machine Learning Development
Dicoding
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from personal assistants to academic tools and predictive maintenance systems, showcases a broad interest in applying AI across various domains. Their involvement in mentorship and code review roles indicates a collaborative spirit and a commitment to best practices. The self-initiated projects and continuous learning through certifications align with a culture of innovation and continuous improvement, making them a good cultural fit for a dynamic AI engineering team.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills through extensive mentorship and facilitation roles, indicating good communication, leadership, and teamwork abilities. Their project-based learning approach and eagerness to experiment with emerging AI technologies suggest a proactive and adaptable work attitude. The focus on real-world problem-solving in projects aligns well with operational needs for practical AI solutions.