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AI Engineer with 1+ years in Generative AI & LLM Applications
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.