I'm an AI Engineer specializing in LLM-based systems orchestration including multi-agent workflows, retrieval-augmented generation, and context engineering. I also work in Analytics Engineering, designing analytical data marts and building dashboards focused on measurable business impact.
When I'm not exploring data analysis tools or following AI trends, I enjoy capturing moments through photography, diving into novels and manga, watching anime and movies, listening to music, or playing in online games like Dota 2 and CS2. These diverse interests help me stay creative and bring fresh perspectives to my work.
Driven by extreme curiosity with the help of LLM to answer my questions about certain things, I am able to learn new concepts quickly and apply them to my work and projects.
Always exploring new technologies and research papers in AI/ML
Love working with diverse teams to build impactful solutions
Passionate about tackling complex challenges with data-driven approaches
A collection of data science projects showcasing analytics, visualization, and machine learning applications across various industries.
Showing 16 of 16 data projects
My approach to data science focuses on extracting meaningful insights from complex datasets through rigorous analysis and statistical methods. I believe in the power of data to drive informed decision-making while maintaining data integrity and ethical considerations.
Prioritizing actionable insights over complex models, ensuring business value
Building robust pipelines that ensure data accuracy, completeness, and reliability
Creating solutions that deliver measurable business impact and drive growth
Advanced AI and machine learning projects focusing on practical applications, model deployment, and production-ready AI systems.
Showing 13 of 13 AI projects
Comprehensive AI-powered tool for cover letter generation and employer Q&A assistance throughout your job application process.
AI-powered application structuring knowledge into graph structures and querying it using natural language.
Interactive tool visualizing the complete RAG process with 3D embeddings and observability.
Production-ready travel planning system with parallel agent execution and full observability.
Educational tool demonstrating information flow into AI agent context windows before inference.
Multi-agent AI simulation of Indonesian House of Representatives (DPR) parliamentary processes.
My approach to AI engineering focuses on creating production-ready systems that are scalable, maintainable, and ethically responsible. I believe in the power of AI to solve complex problems while maintaining transparency and reliability.
Optimizing models for speed and efficiency without sacrificing accuracy
Building systems that can scale from prototype to production seamlessly
Ensuring AI systems are fair, transparent, and beneficial to society
Choose your favorite game and have some fun! Each game offers a unique experience with scoring and challenges.
Classic 3x3 grid game for two players
Control the snake, eat food, and grow!
Classic hand game against the computer
Get 3 in a row to win. Players take turns marking spaces on a 3x3 grid.
Use arrow keys to control the snake. Eat food to grow and increase your score.
Choose rock, paper, or scissors. First to win 3 rounds wins the game.
Explore my articles on Medium and video tutorials on YouTube covering data science, machine learning, and AI topics.
A comprehensive comparison of three breakthrough vision-language models for document understanding and text extraction. Learn how GLM-OCR, PaddleOCR-VL-1.5, and DeepSeek-OCR2 are fundamentally changing document AI.
Learn how to deliberately design what information AI models see, when they see it, and in what format. This comprehensive guide covers the four principles of context engineering with a hands-on visualizer demonstrating RAG, memory management, and tool integration for production-ready AI systems.
Discover essential tools for AI engineers covering inference optimization, observability, UI development, agent orchestration, and vector search—moving beyond just prompting APIs to architecting production systems.
A comprehensive guide to building a production-ready travel planner with Agno and Langfuse, covering parallel agents, workflows, and full observability.
A comprehensive guide to getting started with AI Agent with Langchain
Learn the basics of neural networks and how they power modern AI.
Step-by-step tutorial on creating your first machine learning model.
Follow me on Medium for in-depth articles and subscribe to my YouTube channel for video tutorials on data science, machine learning, and AI.
Have a project in mind or just want to chat about data science and AI? I'm always excited to discuss new opportunities and interesting challenges.
Available for Projects
Open to discussing data science and AI engineering opportunities
